[P3] Implementation Roadmap: Close Gaps Between Documentation and Implementation

[frankbria]

Overview

This meta-issue tracks the comprehensive effort to close gaps between CodeFRAME's promised functionality (documented in CODEFRAME_USER_DOCUMENTATION.md) and actual implementation (identified in CODEFRAME_ISSUES_ANALYSIS.md).

Background

CodeFRAME has an impressive architecture and vision but suffers from significant implementation gaps. Many core components have TODO comments, stubbed methods, or mocked tests that create a false sense of completeness. This roadmap organizes the work into three priority levels.

Priority 1: Core Functionality (Critical) 🔴

These issues block the primary function of CodeFRAME—autonomous AI-driven development. Must be completed for MVP.

Agent Execution

• [P1] Implement WorkerAgent.execute_task() with Anthropic API integration #98 - Implement WorkerAgent.execute_task() with Anthropic API integration
• [P1] Add token tracking after LLM calls in WorkerAgent #99 - Add token tracking after LLM calls in WorkerAgent
• [P1] Implement LeadAgent.assign_task() logic #100 - Implement LeadAgent.assign_task() logic
• [P1] Implement LeadAgent.detect_bottlenecks() logic #101 - Implement LeadAgent.detect_bottlenecks() logic

Project Lifecycle

• [P1] Implement Project.start() with Lead Agent initialization #102 - Implement Project.start() with Lead Agent initialization
• [P1] Implement Project.pause() with flash save mechanism #103 - Implement Project.pause() with flash save mechanism
• [P1] Implement Project.get_status() comprehensive status gathering #107 - Implement Project.get_status() comprehensive status gathering
• [P1] Implement Project.get_agent() Lead Agent retrieval #108 - Implement Project.get_agent() Lead Agent retrieval

Database Integration

• [P1] Replace mock data with database queries in GET /api/projects/{id}/tasks #104 - Replace mock data with database queries in GET /api/projects/{id}/tasks
• [P1] Convert task dictionaries to Task objects in database.py #106 - Convert task dictionaries to Task objects in database.py

Real-time Communication

• [P1] Implement WebSocket subscription tracking in websocket router #105 - Implement WebSocket subscription tracking in websocket router

Total P1 Issues: 11

Priority 2: Quality & Testing (Essential) 🟡

These issues prevent quality regressions and ensure production readiness. Should be completed before 1.0 release.

Quality Enforcement Integration

• [P2] Integrate SkipPatternDetector into WorkerAgent.complete_task() #109 - Integrate SkipPatternDetector into WorkerAgent.complete_task()
• [P2] Integrate QualityTracker into WorkerAgent workflow #110 - Integrate QualityTracker into WorkerAgent workflow
• [P2] Integrate EvidenceVerifier into WorkerAgent.complete_task() #111 - Integrate EvidenceVerifier into WorkerAgent.complete_task()
• [P2] Implement WorkerAgent.assess_maturity() system #112 - Implement WorkerAgent.assess_maturity() system

Testing Improvements

• [P2] Replace mocked unit tests with real integration tests #113 - Replace mocked unit tests with real integration tests
• [P3] Add edge case testing across core components #114 - Add edge case testing across core components
• [Future] Add performance and load testing benchmarks #115 - Add performance and load testing benchmarks

Total P2 Issues: 7

Priority 3: Advanced Features (Nice-to-Have) 🟢

These issues enhance usability and enable advanced workflows. Can be deferred to post-1.0.

Git Workflow Enhancements

• [P3] Enhance GitWorkflowManager with PR creation #116 - Enhance GitWorkflowManager with PR creation
• [P3] Enhance GitWorkflowManager with merge conflict resolution #117 - Enhance GitWorkflowManager with merge conflict resolution

API Improvements

• [P3] Add API pagination support for large datasets #118 - Add API pagination support for large datasets
• [P3] Complete OpenAPI documentation for all endpoints #119 - Complete OpenAPI documentation for all endpoints

Misc Enhancements

• [Future] Implement by_day token usage aggregation in MetricsTracker #120 - Implement by_day token usage aggregation in MetricsTracker
• [Future] Implement workspace upload extraction #121 - Implement workspace upload extraction
• [Future] Parse issue dependencies from database storage #122 - Parse issue dependencies from database storage
• [Future] Implement custom SDK hooks for tool-specific metrics #123 - Implement custom SDK hooks for tool-specific metrics

Total P3 Issues: 8

Implementation Strategy

Phase 1: Agent Execution (Week 1-2)

Complete issues #98, #99, #100, #101 to enable actual autonomous task execution.

Outcome: Agents can execute tasks via Anthropic API with token tracking.

Phase 2: Project Lifecycle (Week 2-3)

Complete issues #102, #103, #107, #108 to enable full project management.

Outcome: Projects can start, pause, resume with proper state management.

Phase 3: Database Integration (Week 3-4)

Complete issues #104, #105, #106 to replace mock data with real persistence.

Outcome: Dashboard displays real data from database via API.

Phase 4: Quality Enforcement (Week 4-5)

Complete issues #109-112 to integrate existing quality enforcement components.

Outcome: Agents verify evidence before claiming completion, preventing bad code.

Phase 5: Testing & Validation (Week 5-6)

Complete issues #113-115 to ensure production readiness.

Outcome: Comprehensive test coverage with real integration tests.

Phase 6: Advanced Features (Post-1.0)

Address issues #116-123 as time permits.

Outcome: Enhanced workflows, better analytics, improved UX.

Success Criteria

✅ MVP Complete when:

• All P1 issues resolved
• Agents can execute tasks via Anthropic API
• Database integration complete (no mock data)
• WebSocket real-time updates working

✅ Production Ready when:

• All P1 + P2 issues resolved
• Quality enforcement integrated
• Integration tests verify all workflows
• Performance benchmarks established

✅ Feature Complete when:

• All issues (P1 + P2 + P3) resolved
• Advanced features implemented
• Documentation complete

References

• Issues Analysis: CODEFRAME_ISSUES_ANALYSIS.md
• User Documentation: CODEFRAME_USER_DOCUMENTATION.md
• Project Documentation: CLAUDE.md

Progress Tracking

• Phase 1: Agent Execution (0/4 complete)
• Phase 2: Project Lifecycle (0/4 complete)
• Phase 3: Database Integration (0/3 complete)
• Phase 4: Quality Enforcement (0/4 complete)
• Phase 5: Testing & Validation (0/3 complete)
• Phase 6: Advanced Features (0/8 complete)

Total: 0/26 issues complete

---

Labels: meta, roadmap, documentation
Assignee: @frankbria

[traycerai]

Plan

Observations

GitHub issue #124 is labeled as P3 (post-beta), indicating this roadmap should be executed after MVP and production readiness are achieved. The roadmap organizes 26 issues across 6 phases with three priority levels, but requires validation against actual codebase state to prevent duplicating already-completed work.

The implementation strategy should focus on:

1. Validation & Audit - Verify which issues are actually unimplemented vs. already complete
2. Documentation Accuracy - Ensure CODEFRAME_ISSUES_ANALYSIS.md reflects true implementation status
3. Prioritized Execution - Focus on genuinely missing functionality rather than re-implementing existing code
4. Quality Assurance - Improve test coverage and integration validation
5. Feature Completion - Implement remaining Priority 3 features for completeness

This approach ensures the roadmap accurately reflects work needed and prevents duplicating already-completed implementations. As a P3 initiative, this work should commence only after P1 (MVP) and P2 (production readiness) phases are complete.

Implementation Plan

Phase 1: Codebase Audit & Issue Validation (Week 1)

Objective: Verify actual implementation status of all 26 issues in the roadmap. This phase is critical for P3 execution as it establishes baseline understanding of what work remains after P1 and P2 completion.

Step 1.1: Systematic Issue Audit

• Create audit script to scan codebase for each issue's requirements
• For each Priority 1 issue ([P1] Implement WorkerAgent.execute_task() with Anthropic API integration #98-[P1] Implement Project.get_agent() Lead Agent retrieval #108):
  • Verify if core functionality is fully implemented and integrated
  • Check for any remaining TODO comments or stubbed methods
  • Document implementation status with file references and line numbers
  • Identify any gaps or incomplete integrations
• For each Priority 2 issue ([P2] Integrate SkipPatternDetector into WorkerAgent.complete_task() #109-[Future] Add performance and load testing benchmarks #115):
  • Verify test coverage and quality enforcement integration
  • Identify mocked vs. real tests
  • Document test gaps and conversion needs
• For each Priority 3 issue ([P3] Enhance GitWorkflowManager with PR creation #116-[Future] Implement custom SDK hooks for tool-specific metrics #123):
  • Check if feature is partially or fully implemented
  • Document remaining work and dependencies
  • Identify any blockers from P1/P2 completion

Audit output: Create IMPLEMENTATION_STATUS_AUDIT.md with:

• ✅ Fully Implemented issues (with evidence and verification date)
• 🟡 Partially Implemented issues (with gaps identified and completion percentage)
• ❌ Not Implemented issues (with requirements and estimated effort)
• 📋 Blocked issues (with dependency information)

Step 1.2: Update CODEFRAME_ISSUES_ANALYSIS.md

• Incorporate audit findings into analysis document
• Update "Unimplemented Core Functionality" section based on audit
• Add "Implementation Status Summary" with counts by priority
• Create "Verified Gaps" section with only genuinely missing functionality
• Add cross-references to GitHub issues
• Document P1/P2 completion status as baseline for P3 work

Files to update:

• file:CODEFRAME_ISSUES_ANALYSIS.md
• Create file:IMPLEMENTATION_STATUS_AUDIT.md

Step 1.3: Reconcile Roadmap with Reality

• Compare original roadmap assumptions with audit findings
• Identify issues that can be closed as already complete
• Identify issues that need scope adjustment based on P1/P2 completion
• Create revised priority list based on actual gaps
• Update issue [P3] Implementation Roadmap: Close Gaps Between Documentation and Implementation #124 with corrected progress tracking
• Document any P1/P2 issues that impact P3 execution

Deliverables:

• Audit report showing true implementation status
• Updated CODEFRAME_ISSUES_ANALYSIS.md with P1/P2 baseline
• Revised issue list with accurate completion status
• P3 execution readiness assessment

Phase 2: Priority 3 Feature Implementation (Weeks 2-4)

Objective: Implement remaining Priority 3 features based on audit findings. This phase assumes P1 and P2 are complete and focuses exclusively on post-beta enhancements.

Step 2.1: Verify P1/P2 Completion Prerequisites

• Confirm all Priority 1 issues are fully implemented and integrated
• Confirm all Priority 2 issues are fully implemented with real tests
• Document any P1/P2 gaps that impact P3 execution
• Create dependency map showing P3 features that depend on P1/P2

Expected outcomes:

• Clear understanding of P1/P2 completion status
• Identified blockers for P3 execution
• Dependency map for P3 features

Step 2.2: Implement Priority 3 Git Workflow Enhancements

• Implement PR creation (Issue [P3] Enhance GitWorkflowManager with PR creation #116):

  • Add create_pull_request() method to GitWorkflowManager
  • Use GitHub API with PyGithub library
  • Include issue description and task checklist in PR body
  • Create PR with title: [Issue {issue_number}] {issue_title}
  • Add tests for PR creation with various scenarios

• Implement merge conflict resolution (Issue [P3] Enhance GitWorkflowManager with merge conflict resolution #117):

  • Add resolve_merge_conflicts() method
  • Detect conflicts during merge operations
  • Create SYNC blocker with conflict details
  • Provide resolution options: abort, manual, ours/theirs
  • Add tests for conflict detection and resolution

Files to modify:

• file:codeframe/git/workflow_manager.py
• file:tests/git/test_workflow_manager.py

Expected outcomes:

• PR creation working with proper formatting
• Merge conflict detection and resolution working
• Full test coverage for Git enhancements

Step 2.3: Implement Priority 3 API & Documentation Enhancements

• Add API pagination support (Issue [P3] Add API pagination support for large datasets #118):

  • Enhance GET /api/projects/{id}/tasks endpoint
  • Add pagination metadata: next_cursor, prev_cursor, has_more
  • Calculate has_more based on total count vs offset+limit
  • Add tests for pagination with various page sizes

• Complete OpenAPI documentation (Issue [P3] Complete OpenAPI documentation for all endpoints #119):

  • Add OpenAPI schemas for all endpoints
  • Document request/response models with Pydantic
  • Add examples and descriptions to all router functions
  • Verify documentation at /docs endpoint
  • Generate OpenAPI spec file for external tools

Files to modify:

• file:codeframe/ui/routers/projects.py
• file:codeframe/ui/routers/tasks.py
• All router files
• file:tests/ui/test_pagination.py

Expected outcomes:

• API pagination working with proper metadata
• OpenAPI documentation complete and accurate
• All endpoints documented with examples

Step 2.4: Implement Priority 3 Metrics & Analytics Features

• Implement by_day token aggregation (Issue [Future] Implement by_day token usage aggregation in MetricsTracker #120):

  • Add get_usage_by_day() method to MetricsTracker
  • Group token usage by date for timeline visualization
  • Use SQLite's date() function for aggregation
  • Add tests for aggregation with various date ranges

• Implement custom SDK hooks (Issue [Future] Implement custom SDK hooks for tool-specific metrics #123):

  • Extend tool-specific metrics recording to database
  • Track Write tool usage (files modified, lines changed)
  • Track Bash tool usage (commands executed, exit codes)
  • Add record_tool_usage() method to Database class
  • Add tests for tool usage tracking

Files to modify:

• file:codeframe/lib/metrics_tracker.py
• file:codeframe/lib/sdk_hooks.py
• file:codeframe/persistence/database.py
• file:tests/lib/test_metrics_tracker.py

Expected outcomes:

• Token aggregation by day working
• Tool-specific metrics recorded and queryable
• Full test coverage for metrics features

Step 2.5: Implement Priority 3 Workspace & Issue Management

• Implement workspace upload extraction (Issue [Future] Implement workspace upload extraction #121):

  • Extract .zip and .tar.gz archives
  • Initialize git repository in extracted workspace
  • Validate extracted structure
  • Add tests for various archive formats

• Parse issue dependencies (Issue [Future] Parse issue dependencies from database storage #122):

  • Parse depends_on field from database storage
  • Handle JSON array format: ["2.1", "2.3"]
  • Return list of issue numbers with validation
  • Add tests for dependency parsing

Files to modify:

• file:codeframe/workspace/manager.py
• file:codeframe/persistence/repositories/issue_repository.py
• file:tests/workspace/test_manager.py

Expected outcomes:

• Workspace upload extraction working
• Issue dependencies parsed and validated
• Full test coverage for workspace features

Phase 3: Test Quality & Coverage Improvements (Weeks 4-5)

Objective: Ensure comprehensive test coverage for P3 features with real integration tests

Step 3.1: Add Tests for P3 Features

• Create comprehensive tests for all P3 features implemented in Phase 2
• Focus on integration tests rather than unit tests
• Test feature interactions with existing P1/P2 components
• Add edge case testing for all new features

Test files to create/modify:

• file:tests/git/test_workflow_manager.py - PR creation and conflict resolution
• file:tests/ui/test_pagination.py - API pagination
• file:tests/lib/test_metrics_tracker.py - Token aggregation
• file:tests/workspace/test_manager.py - Workspace extraction
• file:tests/persistence/test_issue_repository.py - Issue dependencies

Step 3.2: Add Edge Case & Performance Testing

• Add tests for edge cases: empty inputs, malformed data, concurrent operations
• Add tests for error recovery and rollback scenarios
• Add performance benchmarks for P3 features
• Test integration with P1/P2 components under load

New test files:

• file:tests/integration/test_p3_edge_cases.py
• file:tests/integration/test_p3_concurrent_operations.py
• file:tests/performance/test_p3_benchmarks.py

Success criteria:

• All P3 features have integration tests
• Test pass rate at 100%
• Edge cases covered for all P3 features
• Performance benchmarks established for P3 features

Phase 4: Integration Validation & E2E Testing (Week 6)

Objective: Verify all P3 features work correctly with P1/P2 components

Step 4.1: End-to-End P3 Feature Testing

• Create comprehensive E2E tests covering P3 features:
  • PR creation workflow with task completion
  • Merge conflict detection and resolution
  • API pagination with large datasets
  • Token aggregation and metrics reporting
  • Workspace upload and extraction
  • Issue dependency resolution
• Verify all P3 features integrate correctly with P1/P2 components
• Test error handling and recovery for P3 features

Test file: file:tests/e2e/test_p3_features.py

Verification points:

• PR creation works with proper formatting and metadata
• Merge conflicts detected and resolved correctly
• API pagination returns correct metadata and data
• Token aggregation accurate across date ranges
• Workspace extraction creates valid repositories
• Issue dependencies resolved correctly

Step 4.2: P3 Feature Integration Verification

• Verify P3 features integrate with P1/P2 components
• Test Git enhancements with existing workflow
• Test API pagination with existing endpoints
• Test metrics with existing token tracking
• Test workspace features with existing project structure

Verification points:

• PR creation integrates with task completion workflow
• Merge conflict resolution integrates with Git workflow
• API pagination works with existing query filters
• Token metrics integrate with existing tracking
• Workspace features work with existing project initialization

Step 4.3: Load Testing for P3 Features

• Test PR creation with high volume
• Test API pagination with large datasets
• Test metrics aggregation with large token volumes
• Test concurrent workspace uploads

Test scenarios:

• Create 100+ PRs and verify all created correctly
• Paginate through 10,000+ tasks
• Aggregate tokens across 1 year of data
• Upload 10+ workspaces concurrently

Phase 5: Documentation & Knowledge Base Update (Week 6-7)

Objective: Ensure documentation reflects P3 feature implementation

Step 5.1: Update Implementation Documentation

• Update CODEFRAME_ISSUES_ANALYSIS.md with P3 completion status
• Document all P3 features with file references and examples
• Create implementation guide for P3 features
• Add troubleshooting section for P3 features

Files to update:

• file:CODEFRAME_ISSUES_ANALYSIS.md
• file:CLAUDE.md (add P3 feature references)

Step 5.2: Update User Documentation

• Update CODEFRAME_USER_DOCUMENTATION.md with P3 features
• Add examples for PR creation, pagination, metrics, workspace features
• Document new API endpoints and parameters
• Update limitations section to reflect P3 completion

Files to update:

• file:CODEFRAME_USER_DOCUMENTATION.md

Step 5.3: Create P3 Feature Guides

• Create guide for using PR creation feature
• Create guide for merge conflict resolution
• Create guide for API pagination
• Create guide for token metrics and aggregation
• Create guide for workspace upload and extraction

New files to create:

• file:docs/P3_FEATURES_GUIDE.md
• file:docs/GIT_WORKFLOW_ENHANCEMENTS.md
• file:docs/API_PAGINATION_GUIDE.md
• file:docs/METRICS_AND_ANALYTICS.md

Implementation Sequence

graph TD
    A[Phase 1: Audit & Validation] --> B[Phase 2: P3 Feature Implementation]
    B --> C[Phase 3: Test Quality]
    C --> D[Phase 4: Integration Validation]
    D --> E[Phase 5: Documentation]
    
    B --> B1[#116-117 Git]
    B --> B2[#118-119 API]
    B --> B3[#120-123 Features]
    
    C --> C1[P3 Feature Tests]
    C --> C2[Edge Cases]
    C --> C3[Performance]
    
    D --> D1[E2E Tests]
    D --> D2[Integration Tests]
    D --> D3[Load Tests]

Loading

Success Criteria

Phase 1 Complete When:

• ✅ Audit report identifies all implemented vs. unimplemented issues
• ✅ CODEFRAME_ISSUES_ANALYSIS.md updated with accurate status
• ✅ P1/P2 completion verified as baseline for P3
• ✅ P3 execution readiness assessment completed
• ✅ Dependency map created for P3 features

Phase 2 Complete When:

• ✅ All 8 Priority 3 features implemented ([P3] Enhance GitWorkflowManager with PR creation #116-[Future] Implement custom SDK hooks for tool-specific metrics #123)
• ✅ PR creation working with proper formatting
• ✅ Merge conflict resolution working
• ✅ API pagination working with metadata
• ✅ OpenAPI documentation complete
• ✅ Token aggregation by day working
• ✅ SDK hooks recording tool usage
• ✅ Issue dependencies parsed correctly
• ✅ Workspace upload extraction working

Phase 3 Complete When:

• ✅ Integration tests created for all P3 features
• ✅ Edge case tests added for all P3 features
• ✅ Performance benchmarks established for P3 features
• ✅ Test pass rate at 100%
• ✅ No regressions in P1/P2 functionality

Phase 4 Complete When:

• ✅ E2E tests cover all P3 features
• ✅ P3 features integrate correctly with P1/P2 components
• ✅ Load testing completed for P3 features
• ✅ All integration tests passing
• ✅ No regressions in existing functionality

Phase 5 Complete When:

• ✅ CODEFRAME_ISSUES_ANALYSIS.md updated with P3 status
• ✅ CODEFRAME_USER_DOCUMENTATION.md updated with P3 features
• ✅ P3 feature guides created
• ✅ All documentation accurate and complete

Risk Mitigation

Risk	Impact	Mitigation
P1/P2 not fully complete before P3 starts	High	Verify completion in Phase 1; block P3 if gaps found
P3 features break P1/P2 functionality	High	Comprehensive integration testing; feature flags if needed
Performance benchmarks reveal bottlenecks	Medium	Document limits; optimize critical paths first
Git workflow changes affect existing projects	Medium	Add feature flags; test with isolated repos
Documentation becomes outdated quickly	Medium	Automate doc generation where possible
Load testing reveals scalability issues	Low	Document limits; add to future roadmap

Dependencies

• Phase 2 depends on Phase 1 (audit determines P3 readiness)
• Phase 3 depends on Phase 2 (tests require completed P3 features)
• Phase 4 depends on Phase 3 (integration tests require passing unit tests)
• Phase 5 depends on Phase 4 (documentation reflects final P3 implementation)
• All phases depend on P1/P2 completion (verified in Phase 1)

Estimated Effort

Phase	Estimated Time	Priority
Phase 1: Audit & Validation	3-5 days	Critical
Phase 2: P3 Feature Implementation	7-10 days	High
Phase 3: Test Quality	5-7 days	High
Phase 4: Integration Validation	3-5 days	High
Phase 5: Documentation	2-3 days	Medium
Total	20-30 days	~4-6 weeks

Import In IDE

🤖 Prompt for AI Agents

## Observations

GitHub issue #124 is labeled as **P3 (post-beta)**, indicating this roadmap should be executed after MVP and production readiness are achieved. The roadmap organizes 26 issues across 6 phases with three priority levels, but requires validation against actual codebase state to prevent duplicating already-completed work.

The implementation strategy should focus on:

1. **Validation & Audit** - Verify which issues are actually unimplemented vs. already complete
2. **Documentation Accuracy** - Ensure CODEFRAME_ISSUES_ANALYSIS.md reflects true implementation status
3. **Prioritized Execution** - Focus on genuinely missing functionality rather than re-implementing existing code
4. **Quality Assurance** - Improve test coverage and integration validation
5. **Feature Completion** - Implement remaining Priority 3 features for completeness

This approach ensures the roadmap accurately reflects work needed and prevents duplicating already-completed implementations. As a P3 initiative, this work should commence only after P1 (MVP) and P2 (production readiness) phases are complete.

## Implementation Plan

### Phase 1: Codebase Audit & Issue Validation (Week 1)

**Objective**: Verify actual implementation status of all 26 issues in the roadmap. This phase is critical for P3 execution as it establishes baseline understanding of what work remains after P1 and P2 completion.

#### Step 1.1: Systematic Issue Audit
- Create audit script to scan codebase for each issue's requirements
- For each Priority 1 issue (#98-#108):
  - Verify if core functionality is fully implemented and integrated
  - Check for any remaining TODO comments or stubbed methods
  - Document implementation status with file references and line numbers
  - Identify any gaps or incomplete integrations
- For each Priority 2 issue (#109-#115):
  - Verify test coverage and quality enforcement integration
  - Identify mocked vs. real tests
  - Document test gaps and conversion needs
- For each Priority 3 issue (#116-#123):
  - Check if feature is partially or fully implemented
  - Document remaining work and dependencies
  - Identify any blockers from P1/P2 completion

**Audit output**: Create `IMPLEMENTATION_STATUS_AUDIT.md` with:
- ✅ Fully Implemented issues (with evidence and verification date)
- 🟡 Partially Implemented issues (with gaps identified and completion percentage)
- ❌ Not Implemented issues (with requirements and estimated effort)
- 📋 Blocked issues (with dependency information)

#### Step 1.2: Update CODEFRAME_ISSUES_ANALYSIS.md
- Incorporate audit findings into analysis document
- Update "Unimplemented Core Functionality" section based on audit
- Add "Implementation Status Summary" with counts by priority
- Create "Verified Gaps" section with only genuinely missing functionality
- Add cross-references to GitHub issues
- Document P1/P2 completion status as baseline for P3 work

**Files to update**:
- `file:CODEFRAME_ISSUES_ANALYSIS.md`
- Create `file:IMPLEMENTATION_STATUS_AUDIT.md`

#### Step 1.3: Reconcile Roadmap with Reality
- Compare original roadmap assumptions with audit findings
- Identify issues that can be closed as already complete
- Identify issues that need scope adjustment based on P1/P2 completion
- Create revised priority list based on actual gaps
- Update issue #124 with corrected progress tracking
- Document any P1/P2 issues that impact P3 execution

**Deliverables**:
- Audit report showing true implementation status
- Updated CODEFRAME_ISSUES_ANALYSIS.md with P1/P2 baseline
- Revised issue list with accurate completion status
- P3 execution readiness assessment

### Phase 2: Priority 3 Feature Implementation (Weeks 2-4)

**Objective**: Implement remaining Priority 3 features based on audit findings. This phase assumes P1 and P2 are complete and focuses exclusively on post-beta enhancements.

#### Step 2.1: Verify P1/P2 Completion Prerequisites
- Confirm all Priority 1 issues are fully implemented and integrated
- Confirm all Priority 2 issues are fully implemented with real tests
- Document any P1/P2 gaps that impact P3 execution
- Create dependency map showing P3 features that depend on P1/P2

**Expected outcomes**:
- Clear understanding of P1/P2 completion status
- Identified blockers for P3 execution
- Dependency map for P3 features

#### Step 2.2: Implement Priority 3 Git Workflow Enhancements
- Implement PR creation (Issue #116):
  - Add `create_pull_request()` method to GitWorkflowManager
  - Use GitHub API with PyGithub library
  - Include issue description and task checklist in PR body
  - Create PR with title: `[Issue {issue_number}] {issue_title}`
  - Add tests for PR creation with various scenarios

- Implement merge conflict resolution (Issue #117):
  - Add `resolve_merge_conflicts()` method
  - Detect conflicts during merge operations
  - Create SYNC blocker with conflict details
  - Provide resolution options: abort, manual, ours/theirs
  - Add tests for conflict detection and resolution

**Files to modify**:
- `file:codeframe/git/workflow_manager.py`
- `file:tests/git/test_workflow_manager.py`

**Expected outcomes**:
- PR creation working with proper formatting
- Merge conflict detection and resolution working
- Full test coverage for Git enhancements

#### Step 2.3: Implement Priority 3 API & Documentation Enhancements
- Add API pagination support (Issue #118):
  - Enhance `GET /api/projects/{id}/tasks` endpoint
  - Add pagination metadata: `next_cursor`, `prev_cursor`, `has_more`
  - Calculate has_more based on total count vs offset+limit
  - Add tests for pagination with various page sizes

- Complete OpenAPI documentation (Issue #119):
  - Add OpenAPI schemas for all endpoints
  - Document request/response models with Pydantic
  - Add examples and descriptions to all router functions
  - Verify documentation at `/docs` endpoint
  - Generate OpenAPI spec file for external tools

**Files to modify**:
- `file:codeframe/ui/routers/projects.py`
- `file:codeframe/ui/routers/tasks.py`
- All router files
- `file:tests/ui/test_pagination.py`

**Expected outcomes**:
- API pagination working with proper metadata
- OpenAPI documentation complete and accurate
- All endpoints documented with examples

#### Step 2.4: Implement Priority 3 Metrics & Analytics Features
- Implement by_day token aggregation (Issue #120):
  - Add `get_usage_by_day()` method to MetricsTracker
  - Group token usage by date for timeline visualization
  - Use SQLite's `date()` function for aggregation
  - Add tests for aggregation with various date ranges

- Implement custom SDK hooks (Issue #123):
  - Extend tool-specific metrics recording to database
  - Track Write tool usage (files modified, lines changed)
  - Track Bash tool usage (commands executed, exit codes)
  - Add `record_tool_usage()` method to Database class
  - Add tests for tool usage tracking

**Files to modify**:
- `file:codeframe/lib/metrics_tracker.py`
- `file:codeframe/lib/sdk_hooks.py`
- `file:codeframe/persistence/database.py`
- `file:tests/lib/test_metrics_tracker.py`

**Expected outcomes**:
- Token aggregation by day working
- Tool-specific metrics recorded and queryable
- Full test coverage for metrics features

#### Step 2.5: Implement Priority 3 Workspace & Issue Management
- Implement workspace upload extraction (Issue #121):
  - Extract .zip and .tar.gz archives
  - Initialize git repository in extracted workspace
  - Validate extracted structure
  - Add tests for various archive formats

- Parse issue dependencies (Issue #122):
  - Parse `depends_on` field from database storage
  - Handle JSON array format: `["2.1", "2.3"]`
  - Return list of issue numbers with validation
  - Add tests for dependency parsing

**Files to modify**:
- `file:codeframe/workspace/manager.py`
- `file:codeframe/persistence/repositories/issue_repository.py`
- `file:tests/workspace/test_manager.py`

**Expected outcomes**:
- Workspace upload extraction working
- Issue dependencies parsed and validated
- Full test coverage for workspace features

### Phase 3: Test Quality & Coverage Improvements (Weeks 4-5)

**Objective**: Ensure comprehensive test coverage for P3 features with real integration tests

#### Step 3.1: Add Tests for P3 Features
- Create comprehensive tests for all P3 features implemented in Phase 2
- Focus on integration tests rather than unit tests
- Test feature interactions with existing P1/P2 components
- Add edge case testing for all new features

**Test files to create/modify**:
- `file:tests/git/test_workflow_manager.py` - PR creation and conflict resolution
- `file:tests/ui/test_pagination.py` - API pagination
- `file:tests/lib/test_metrics_tracker.py` - Token aggregation
- `file:tests/workspace/test_manager.py` - Workspace extraction
- `file:tests/persistence/test_issue_repository.py` - Issue dependencies

#### Step 3.2: Add Edge Case & Performance Testing
- Add tests for edge cases: empty inputs, malformed data, concurrent operations
- Add tests for error recovery and rollback scenarios
- Add performance benchmarks for P3 features
- Test integration with P1/P2 components under load

**New test files**:
- `file:tests/integration/test_p3_edge_cases.py`
- `file:tests/integration/test_p3_concurrent_operations.py`
- `file:tests/performance/test_p3_benchmarks.py`

**Success criteria**:
- All P3 features have integration tests
- Test pass rate at 100%
- Edge cases covered for all P3 features
- Performance benchmarks established for P3 features

### Phase 4: Integration Validation & E2E Testing (Week 6)

**Objective**: Verify all P3 features work correctly with P1/P2 components

#### Step 4.1: End-to-End P3 Feature Testing
- Create comprehensive E2E tests covering P3 features:
  - PR creation workflow with task completion
  - Merge conflict detection and resolution
  - API pagination with large datasets
  - Token aggregation and metrics reporting
  - Workspace upload and extraction
  - Issue dependency resolution
- Verify all P3 features integrate correctly with P1/P2 components
- Test error handling and recovery for P3 features

**Test file**: `file:tests/e2e/test_p3_features.py`

**Verification points**:
- PR creation works with proper formatting and metadata
- Merge conflicts detected and resolved correctly
- API pagination returns correct metadata and data
- Token aggregation accurate across date ranges
- Workspace extraction creates valid repositories
- Issue dependencies resolved correctly

#### Step 4.2: P3 Feature Integration Verification
- Verify P3 features integrate with P1/P2 components
- Test Git enhancements with existing workflow
- Test API pagination with existing endpoints
- Test metrics with existing token tracking
- Test workspace features with existing project structure

**Verification points**:
- PR creation integrates with task completion workflow
- Merge conflict resolution integrates with Git workflow
- API pagination works with existing query filters
- Token metrics integrate with existing tracking
- Workspace features work with existing project initialization

#### Step 4.3: Load Testing for P3 Features
- Test PR creation with high volume
- Test API pagination with large datasets
- Test metrics aggregation with large token volumes
- Test concurrent workspace uploads

**Test scenarios**:
- Create 100+ PRs and verify all created correctly
- Paginate through 10,000+ tasks
- Aggregate tokens across 1 year of data
- Upload 10+ workspaces concurrently

### Phase 5: Documentation & Knowledge Base Update (Week 6-7)

**Objective**: Ensure documentation reflects P3 feature implementation

#### Step 5.1: Update Implementation Documentation
- Update CODEFRAME_ISSUES_ANALYSIS.md with P3 completion status
- Document all P3 features with file references and examples
- Create implementation guide for P3 features
- Add troubleshooting section for P3 features

**Files to update**:
- `file:CODEFRAME_ISSUES_ANALYSIS.md`
- `file:CLAUDE.md` (add P3 feature references)

#### Step 5.2: Update User Documentation
- Update CODEFRAME_USER_DOCUMENTATION.md with P3 features
- Add examples for PR creation, pagination, metrics, workspace features
- Document new API endpoints and parameters
- Update limitations section to reflect P3 completion

**Files to update**:
- `file:CODEFRAME_USER_DOCUMENTATION.md`

#### Step 5.3: Create P3 Feature Guides
- Create guide for using PR creation feature
- Create guide for merge conflict resolution
- Create guide for API pagination
- Create guide for token metrics and aggregation
- Create guide for workspace upload and extraction

**New files to create**:
- `file:docs/P3_FEATURES_GUIDE.md`
- `file:docs/GIT_WORKFLOW_ENHANCEMENTS.md`
- `file:docs/API_PAGINATION_GUIDE.md`
- `file:docs/METRICS_AND_ANALYTICS.md`

## Implementation Sequence

```mermaid
graph TD
    A[Phase 1: Audit & Validation] --> B[Phase 2: P3 Feature Implementation]
    B --> C[Phase 3: Test Quality]
    C --> D[Phase 4: Integration Validation]
    D --> E[Phase 5: Documentation]
    
    B --> B1[#116-117 Git]
    B --> B2[#118-119 API]
    B --> B3[#120-123 Features]
    
    C --> C1[P3 Feature Tests]
    C --> C2[Edge Cases]
    C --> C3[Performance]
    
    D --> D1[E2E Tests]
    D --> D2[Integration Tests]
    D --> D3[Load Tests]
```

## Success Criteria

### Phase 1 Complete When:
- ✅ Audit report identifies all implemented vs. unimplemented issues
- ✅ CODEFRAME_ISSUES_ANALYSIS.md updated with accurate status
- ✅ P1/P2 completion verified as baseline for P3
- ✅ P3 execution readiness assessment completed
- ✅ Dependency map created for P3 features

### Phase 2 Complete When:
- ✅ All 8 Priority 3 features implemented (#116-#123)
- ✅ PR creation working with proper formatting
- ✅ Merge conflict resolution working
- ✅ API pagination working with metadata
- ✅ OpenAPI documentation complete
- ✅ Token aggregation by day working
- ✅ SDK hooks recording tool usage
- ✅ Issue dependencies parsed correctly
- ✅ Workspace upload extraction working

### Phase 3 Complete When:
- ✅ Integration tests created for all P3 features
- ✅ Edge case tests added for all P3 features
- ✅ Performance benchmarks established for P3 features
- ✅ Test pass rate at 100%
- ✅ No regressions in P1/P2 functionality

### Phase 4 Complete When:
- ✅ E2E tests cover all P3 features
- ✅ P3 features integrate correctly with P1/P2 components
- ✅ Load testing completed for P3 features
- ✅ All integration tests passing
- ✅ No regressions in existing functionality

### Phase 5 Complete When:
- ✅ CODEFRAME_ISSUES_ANALYSIS.md updated with P3 status
- ✅ CODEFRAME_USER_DOCUMENTATION.md updated with P3 features
- ✅ P3 feature guides created
- ✅ All documentation accurate and complete

## Risk Mitigation

| Risk | Impact | Mitigation |
|------|--------|------------|
| P1/P2 not fully complete before P3 starts | High | Verify completion in Phase 1; block P3 if gaps found |
| P3 features break P1/P2 functionality | High | Comprehensive integration testing; feature flags if needed |
| Performance benchmarks reveal bottlenecks | Medium | Document limits; optimize critical paths first |
| Git workflow changes affect existing projects | Medium | Add feature flags; test with isolated repos |
| Documentation becomes outdated quickly | Medium | Automate doc generation where possible |
| Load testing reveals scalability issues | Low | Document limits; add to future roadmap |

## Dependencies

- **Phase 2** depends on Phase 1 (audit determines P3 readiness)
- **Phase 3** depends on Phase 2 (tests require completed P3 features)
- **Phase 4** depends on Phase 3 (integration tests require passing unit tests)
- **Phase 5** depends on Phase 4 (documentation reflects final P3 implementation)
- **All phases** depend on P1/P2 completion (verified in Phase 1)

## Estimated Effort

| Phase | Estimated Time | Priority |
|-------|---------------|----------|
| Phase 1: Audit & Validation | 3-5 days | Critical |
| Phase 2: P3 Feature Implementation | 7-10 days | High |
| Phase 3: Test Quality | 5-7 days | High |
| Phase 4: Integration Validation | 3-5 days | High |
| Phase 5: Documentation | 2-3 days | Medium |
| **Total** | **20-30 days** | **~4-6 weeks** |

---

Execution Information

Branch: main
Commit: 1260477

---

💡 Tips

Supported Commands (Inside Comments)

• Use @traycerai generate to iterate on the previous version of the implementation plan.

Supported Commands (Inside Description)

• Add @traycerai ignore anywhere in the ticket description to prevent this ticket from being processed.
• Add @traycerai branch:<branch-name> anywhere in the ticket description to specify the target branch for the implementation plan.

Community

• Join our Discord Community to get help, request features, and share feedback.
• Follow us on X/Twitter for updates and announcements.

[coderabbitai]

📝 CodeRabbit Plan Mode

Generate an implementation plan and prompts that you can use with your favorite coding agent.

• Create Plan

Examples

• Example 1
• Example 2

---

🔗 Related PRs

#9 - Merge Sprint 4 Multi-Agent Coordination work into main [merged]
#11 - feat: Convert worker agents to async/await pattern (cf-48) [merged]
#30 - Review codebase against Claude SDK functionality [closed]
#31 - Create SDK migration implementation plan [merged]
#246 - feat(agents): trigger multi-agent execution after task approval [merged]

---

🧪 Issue enrichment is currently in open beta.

You can configure auto-planning by selecting labels in the issue_enrichment configuration.

To disable automatic issue enrichment, add the following to your .coderabbit.yaml:

issue_enrichment:
  auto_enrich:
    enabled: false

💬 Have feedback or questions? Drop into our discord!

[traycerai]

I have updated the Implementation Plan to reflect the recent changes in the ticket.

New Plan

Observations

After thorough analysis of the codebase, I've discovered that the CODEFRAME_ISSUES_ANALYSIS.md document is significantly outdated. Most of the Priority 1 (Critical) issues listed in the roadmap are already fully implemented:

• ✅ WorkerAgent.execute_task() - Complete with Anthropic API integration (lines 286-577)
• ✅ Token tracking - Fully implemented via _record_token_usage() (line 493-498)
• ✅ LeadAgent.assign_task() - Complete implementation (lines 623-683)
• ✅ LeadAgent.detect_bottlenecks() - Complete with 4 bottleneck types (lines 840-922)
• ✅ Project.start() - Fully implemented with Lead Agent initialization (lines 129-198)
• ✅ Project.pause() - Complete with flash save mechanism (lines 200-379)
• ✅ Project.get_status() - Comprehensive status gathering (lines 445-613)
• ✅ Project.get_agent() - Lead Agent retrieval (lines 662-687)
• ✅ Database integration - Repository pattern with 17 specialized repositories
• ✅ WebSocket subscription tracking - Fully implemented (lines 204-216 in websocket.py)
• ✅ Quality enforcement components - All three fully implemented (SkipPatternDetector: 458 lines, QualityTracker: 324 lines, EvidenceVerifier: 345 lines)

The actual gaps are minimal and mostly involve advanced features (Priority 3) and test improvements (Priority 2).

Approach

Rather than implementing 26 issues as originally planned, the focus should be on:

1. Verification & Documentation - Update CODEFRAME_ISSUES_ANALYSIS.md to reflect actual implementation status
2. Test Quality Improvements - Convert mocked tests to integration tests where appropriate
3. Minor Feature Completions - Implement the 6 actual TODOs found in the codebase
4. Integration Validation - Ensure all implemented components work together correctly

This approach prioritizes accuracy over volume, ensuring the team understands what's actually complete versus what needs work.

Implementation Plan

Phase 1: Documentation Audit & Update (Week 1)

Objective: Correct the documentation to reflect actual implementation status

Step 1.1: Update CODEFRAME_ISSUES_ANALYSIS.md

• Review each issue mentioned in the analysis document
• Mark implemented features with ✅ status and file references
• Update the "Unimplemented Core Functionality" section to remove completed items
• Add new section "Actually Implemented Features" with evidence (file paths, line numbers)
• Create "Remaining Gaps" section with only the 6 actual TODOs found

Files to update:

• file:CODEFRAME_ISSUES_ANALYSIS.md

Step 1.2: Close Resolved Issues

• Review GitHub issues [P1] Implement WorkerAgent.execute_task() with Anthropic API integration #98-[P2] Implement WorkerAgent.assess_maturity() system #112 (Priority 1 & 2)
• Close issues that are already implemented with comments referencing implementation
• Update issue [P3] Implementation Roadmap: Close Gaps Between Documentation and Implementation #124 (this meta-issue) with corrected status

Reference implementation locations:

• Agent execution: file:codeframe/agents/worker_agent.py (lines 286-577)
• Lead agent coordination: file:codeframe/agents/lead_agent.py (lines 623-922)
• Project lifecycle: file:codeframe/core/project.py (lines 129-687)
• Quality enforcement: file:codeframe/enforcement/ (all three files fully implemented)

Phase 2: Test Quality Improvements (Week 2-3)

Objective: Convert mocked tests to integration tests where appropriate

Step 2.1: Run Test Audit

• Execute file:scripts/audit_mocked_tests.py to identify HIGH severity tests
• Generate report showing tests that mock core functionality
• Prioritize tests that mock: database operations, execute_task(), quality gates

Command:

python scripts/audit_mocked_tests.py --output test_audit_report.md

Step 2.2: Convert HIGH Severity Tests

• Focus on tests in file:tests/agents/ that mock execute_task()
• Convert to integration tests in file:tests/integration/
• Use real in-memory SQLite database instead of mocking Database class
• Use real file operations in temp directories instead of mocking file I/O
• Keep mocking only external APIs (Anthropic, OpenAI)

Test conversion pattern:

Before: @patch('codeframe.agents.worker_agent.WorkerAgent.execute_task')
After: Use real WorkerAgent with mocked AsyncAnthropic client only

Files to modify:

• Tests in file:tests/agents/test_worker_agent.py
• Tests in file:tests/agents/test_lead_agent.py
• Tests in file:tests/agents/test_backend_worker_agent.py

Step 2.3: Add Edge Case Testing

• Identify edge cases from quality gate failures
• Add tests for: empty inputs, malformed data, concurrent operations
• Add tests for error recovery and rollback scenarios

New test files to create:

• file:tests/integration/test_edge_cases_agent_execution.py
• file:tests/integration/test_edge_cases_database.py
• file:tests/integration/test_concurrent_operations.py

Phase 3: Complete Remaining TODOs (Week 3-4)

Objective: Implement the 6 actual TODOs found in the codebase

Step 3.1: Implement by_day Token Aggregation (Issue #120)

• Location: file:codeframe/lib/metrics_tracker.py (line 461)
• Add method get_usage_by_day(project_id, start_date, end_date) to MetricsTracker
• Group token usage by date for timeline visualization
• Return dict with dates as keys and usage stats as values

Implementation approach:

• Query token_usage table with date grouping
• Use SQLite's date() function to extract date from timestamp
• Aggregate input_tokens, output_tokens, and cost by date

Step 3.2: Implement Custom SDK Hooks (Issue #123)

• Location: file:codeframe/lib/sdk_hooks.py (line 242)
• Extend tool-specific metrics recording to database
• Track Write tool usage (files modified, lines changed)
• Track Bash tool usage (commands executed, exit codes)

Implementation approach:

• Add tool_usage table to database schema
• Record tool name, agent_id, task_id, metadata in database
• Add method record_tool_usage() to Database class

Step 3.3: Parse Issue Dependencies (Issue #122)

• Location: file:codeframe/persistence/repositories/issue_repository.py (line 169)
• Parse depends_on field from database storage
• Handle JSON array format: ["2.1", "2.3"]
• Return list of issue numbers

Implementation approach:

• Check if depends_on column exists in issues table
• Parse JSON string to list using json.loads()
• Handle null/empty values gracefully

Step 3.4: Implement Workspace Upload Extraction (Issue #121)

• Location: file:codeframe/workspace/manager.py (line 251)
• Extract uploaded .zip or .tar.gz archives
• Initialize git repository in extracted workspace
• Validate extracted structure

Implementation approach:

• Use zipfile or tarfile modules for extraction
• Extract to temporary directory first, then move to workspace_path
• Run git init after extraction
• Add validation for required files (e.g., README, package.json)

Step 3.5: Add API Pagination Support (Issue #118)

• Enhance GET /api/projects/{id}/tasks endpoint
• Already has limit/offset parameters (lines 284-285 in file:codeframe/ui/routers/projects.py)
• Add pagination metadata to response: next_cursor, prev_cursor, has_more

Implementation approach:

• Calculate has_more based on total count vs offset+limit
• Generate cursor tokens for next/previous pages
• Add pagination info to response dict

Step 3.6: Complete OpenAPI Documentation (Issue #119)

• Add OpenAPI schemas for all endpoints
• Document request/response models
• Add examples for each endpoint

Implementation approach:

• Use FastAPI's built-in OpenAPI support
• Add Pydantic models for all request/response types
• Add docstrings with examples to all router functions
• Verify at /docs endpoint

Phase 4: Git Workflow Enhancements (Week 4-5)

Objective: Add advanced Git features (Priority 3)

Step 4.1: Implement PR Creation (Issue #116)

• Add method create_pull_request() to file:codeframe/git/workflow_manager.py
• Use GitHub API to create PR from feature branch to main
• Include issue description and task list in PR body

Implementation approach:

• Use PyGithub library (already in dependencies)
• Authenticate with GitHub token from environment
• Create PR with title: [Issue {issue_number}] {issue_title}
• Add PR body with task checklist

Step 4.2: Implement Merge Conflict Resolution (Issue #117)

• Add method resolve_merge_conflicts() to GitWorkflowManager
• Detect conflicts during merge
• Create blocker for human resolution
• Provide conflict details and resolution options

Implementation approach:

• Catch git.GitCommandError during merge
• Parse conflict markers from affected files
• Create SYNC blocker with conflict details
• Provide options: abort merge, resolve manually, use ours/theirs

Phase 5: Performance & Load Testing (Week 5-6)

Objective: Add performance benchmarks and load testing (Issue #115)

Step 5.1: Add Performance Benchmarks

• Create file:tests/performance/test_benchmarks.py
• Benchmark key operations: task execution, database queries, context management
• Set baseline performance targets

Benchmarks to add:

• Agent task execution: < 5s for simple tasks
• Database query performance: < 100ms for typical queries
• Context tier update: < 500ms for 1000 items
• WebSocket broadcast: < 50ms for 100 connections

Step 5.2: Add Load Testing

• Create file:tests/load/test_concurrent_agents.py
• Test system with 10+ concurrent agents
• Test WebSocket with 100+ concurrent connections
• Measure resource usage and identify bottlenecks

Load test scenarios:

• 10 agents executing tasks simultaneously
• 100 WebSocket clients receiving updates
• 1000 tasks in database with complex dependencies
• Continuous operation for 1 hour

Phase 6: Validation & Integration Testing (Week 6)

Objective: Ensure all components work together correctly

Step 6.1: End-to-End Workflow Testing

• Create comprehensive E2E test covering full workflow
• Test: project creation → discovery → PRD → task execution → completion
• Verify all components integrate correctly

Test file: file:tests/e2e/test_complete_workflow.py

Step 6.2: Quality Gate Integration

• Verify quality gates are enforced in WorkerAgent.complete_task()
• Test integration of SkipPatternDetector, QualityTracker, EvidenceVerifier
• Ensure blockers are created when quality gates fail

Verification points:

• SkipPatternDetector runs before task completion
• QualityTracker records metrics after test execution
• EvidenceVerifier validates test results
• Blockers created when verification fails

Step 6.3: WebSocket Real-time Updates

• Verify WebSocket broadcasts for all event types
• Test subscription management and authorization
• Ensure no message loss during high load

Test scenarios:

• Subscribe to project updates
• Verify agent_started, task_assigned, task_completed events
• Test reconnection and state resync
• Verify authorization checks

Implementation Sequence

graph TD
    A[Phase 1: Documentation Audit] --> B[Phase 2: Test Quality]
    B --> C[Phase 3: Complete TODOs]
    C --> D[Phase 4: Git Enhancements]
    D --> E[Phase 5: Performance Testing]
    E --> F[Phase 6: Validation]
    
    C --> C1[#120 by_day aggregation]
    C --> C2[#123 SDK hooks]
    C --> C3[#122 Parse dependencies]
    C --> C4[#121 Upload extraction]
    C --> C5[#118 API pagination]
    C --> C6[#119 OpenAPI docs]
    
    D --> D1[#116 PR creation]
    D --> D2[#117 Conflict resolution]
    
    E --> E1[#115 Benchmarks]
    E --> E2[#115 Load tests]

Loading

Success Criteria

Phase 1 Complete When:

• ✅ CODEFRAME_ISSUES_ANALYSIS.md accurately reflects implementation status
• ✅ All incorrectly marked "unimplemented" features documented as complete
• ✅ GitHub issues [P1] Implement WorkerAgent.execute_task() with Anthropic API integration #98-[P2] Implement WorkerAgent.assess_maturity() system #112 reviewed and closed if implemented

Phase 2 Complete When:

• ✅ Test audit report generated showing HIGH severity tests
• ✅ At least 80% of HIGH severity tests converted to integration tests
• ✅ Edge case tests added for critical paths
• ✅ Test pass rate remains at 100%

Phase 3 Complete When:

• ✅ All 6 TODOs implemented and tested
• ✅ by_day aggregation returns correct date-grouped data
• ✅ SDK hooks record tool usage to database
• ✅ Issue dependencies parsed from database
• ✅ Workspace upload extraction works for .zip and .tar.gz
• ✅ API pagination includes next/prev cursors
• ✅ OpenAPI docs complete at /docs endpoint

Phase 4 Complete When:

• ✅ PR creation works with GitHub API
• ✅ Merge conflicts detected and blocker created
• ✅ Integration tests verify Git workflow

Phase 5 Complete When:

• ✅ Performance benchmarks established for key operations
• ✅ Load tests pass with 10 concurrent agents
• ✅ WebSocket handles 100+ concurrent connections
• ✅ No memory leaks during 1-hour continuous operation

Phase 6 Complete When:

• ✅ E2E test covers complete workflow
• ✅ Quality gate integration verified
• ✅ WebSocket real-time updates tested under load
• ✅ All integration tests passing

Risk Mitigation

Risk	Impact	Mitigation
Documentation inaccuracy causes confusion	High	Phase 1 must complete first; thorough review required
Test conversion breaks existing functionality	High	Convert tests incrementally; maintain 100% pass rate
Performance benchmarks reveal bottlenecks	Medium	Identify and document; defer optimization if needed
Git workflow changes affect existing projects	Medium	Add feature flags; test with isolated repositories
Load testing reveals scalability issues	Low	Document limits; add to future roadmap

Dependencies

• Phase 2 depends on Phase 1 (need accurate documentation)
• Phase 4 depends on Phase 3 (Git enhancements need core features complete)
• Phase 6 depends on all previous phases (validation requires complete system)

Estimated Effort

Phase	Estimated Time	Priority
Phase 1: Documentation	3-5 days	Critical
Phase 2: Test Quality	5-7 days	High
Phase 3: Complete TODOs	5-7 days	High
Phase 4: Git Enhancements	3-5 days	Medium
Phase 5: Performance Testing	3-5 days	Medium
Phase 6: Validation	2-3 days	High
Total	21-32 days	~4-6 weeks

Import In IDE

🤖 Prompt for AI Agents

## Observations

After thorough analysis of the codebase, I've discovered that **the CODEFRAME_ISSUES_ANALYSIS.md document is significantly outdated**. Most of the Priority 1 (Critical) issues listed in the roadmap are **already fully implemented**:

- ✅ WorkerAgent.execute_task() - Complete with Anthropic API integration (lines 286-577)
- ✅ Token tracking - Fully implemented via _record_token_usage() (line 493-498)
- ✅ LeadAgent.assign_task() - Complete implementation (lines 623-683)
- ✅ LeadAgent.detect_bottlenecks() - Complete with 4 bottleneck types (lines 840-922)
- ✅ Project.start() - Fully implemented with Lead Agent initialization (lines 129-198)
- ✅ Project.pause() - Complete with flash save mechanism (lines 200-379)
- ✅ Project.get_status() - Comprehensive status gathering (lines 445-613)
- ✅ Project.get_agent() - Lead Agent retrieval (lines 662-687)
- ✅ Database integration - Repository pattern with 17 specialized repositories
- ✅ WebSocket subscription tracking - Fully implemented (lines 204-216 in websocket.py)
- ✅ Quality enforcement components - All three fully implemented (SkipPatternDetector: 458 lines, QualityTracker: 324 lines, EvidenceVerifier: 345 lines)

The **actual gaps** are minimal and mostly involve advanced features (Priority 3) and test improvements (Priority 2).

## Approach

Rather than implementing 26 issues as originally planned, the focus should be on:

1. **Verification & Documentation** - Update CODEFRAME_ISSUES_ANALYSIS.md to reflect actual implementation status
2. **Test Quality Improvements** - Convert mocked tests to integration tests where appropriate
3. **Minor Feature Completions** - Implement the 6 actual TODOs found in the codebase
4. **Integration Validation** - Ensure all implemented components work together correctly

This approach prioritizes accuracy over volume, ensuring the team understands what's actually complete versus what needs work.

## Implementation Plan

### Phase 1: Documentation Audit & Update (Week 1)

**Objective**: Correct the documentation to reflect actual implementation status

#### Step 1.1: Update CODEFRAME_ISSUES_ANALYSIS.md
- Review each issue mentioned in the analysis document
- Mark implemented features with ✅ status and file references
- Update the "Unimplemented Core Functionality" section to remove completed items
- Add new section "Actually Implemented Features" with evidence (file paths, line numbers)
- Create "Remaining Gaps" section with only the 6 actual TODOs found

**Files to update**:
- `file:CODEFRAME_ISSUES_ANALYSIS.md`

#### Step 1.2: Close Resolved Issues
- Review GitHub issues #98-#112 (Priority 1 & 2)
- Close issues that are already implemented with comments referencing implementation
- Update issue #124 (this meta-issue) with corrected status

**Reference implementation locations**:
- Agent execution: `file:codeframe/agents/worker_agent.py` (lines 286-577)
- Lead agent coordination: `file:codeframe/agents/lead_agent.py` (lines 623-922)
- Project lifecycle: `file:codeframe/core/project.py` (lines 129-687)
- Quality enforcement: `file:codeframe/enforcement/` (all three files fully implemented)

### Phase 2: Test Quality Improvements (Week 2-3)

**Objective**: Convert mocked tests to integration tests where appropriate

#### Step 2.1: Run Test Audit
- Execute `file:scripts/audit_mocked_tests.py` to identify HIGH severity tests
- Generate report showing tests that mock core functionality
- Prioritize tests that mock: database operations, execute_task(), quality gates

**Command**:
```bash
python scripts/audit_mocked_tests.py --output test_audit_report.md
```

#### Step 2.2: Convert HIGH Severity Tests
- Focus on tests in `file:tests/agents/` that mock execute_task()
- Convert to integration tests in `file:tests/integration/`
- Use real in-memory SQLite database instead of mocking Database class
- Use real file operations in temp directories instead of mocking file I/O
- Keep mocking only external APIs (Anthropic, OpenAI)

**Test conversion pattern**:
```
Before: @patch('codeframe.agents.worker_agent.WorkerAgent.execute_task')
After: Use real WorkerAgent with mocked AsyncAnthropic client only
```

**Files to modify**:
- Tests in `file:tests/agents/test_worker_agent.py`
- Tests in `file:tests/agents/test_lead_agent.py`
- Tests in `file:tests/agents/test_backend_worker_agent.py`

#### Step 2.3: Add Edge Case Testing
- Identify edge cases from quality gate failures
- Add tests for: empty inputs, malformed data, concurrent operations
- Add tests for error recovery and rollback scenarios

**New test files to create**:
- `file:tests/integration/test_edge_cases_agent_execution.py`
- `file:tests/integration/test_edge_cases_database.py`
- `file:tests/integration/test_concurrent_operations.py`

### Phase 3: Complete Remaining TODOs (Week 3-4)

**Objective**: Implement the 6 actual TODOs found in the codebase

#### Step 3.1: Implement by_day Token Aggregation (Issue #120)
- Location: `file:codeframe/lib/metrics_tracker.py` (line 461)
- Add method `get_usage_by_day(project_id, start_date, end_date)` to MetricsTracker
- Group token usage by date for timeline visualization
- Return dict with dates as keys and usage stats as values

**Implementation approach**:
- Query `token_usage` table with date grouping
- Use SQLite's `date()` function to extract date from timestamp
- Aggregate input_tokens, output_tokens, and cost by date

#### Step 3.2: Implement Custom SDK Hooks (Issue #123)
- Location: `file:codeframe/lib/sdk_hooks.py` (line 242)
- Extend tool-specific metrics recording to database
- Track Write tool usage (files modified, lines changed)
- Track Bash tool usage (commands executed, exit codes)

**Implementation approach**:
- Add `tool_usage` table to database schema
- Record tool name, agent_id, task_id, metadata in database
- Add method `record_tool_usage()` to Database class

#### Step 3.3: Parse Issue Dependencies (Issue #122)
- Location: `file:codeframe/persistence/repositories/issue_repository.py` (line 169)
- Parse `depends_on` field from database storage
- Handle JSON array format: `["2.1", "2.3"]`
- Return list of issue numbers

**Implementation approach**:
- Check if `depends_on` column exists in issues table
- Parse JSON string to list using `json.loads()`
- Handle null/empty values gracefully

#### Step 3.4: Implement Workspace Upload Extraction (Issue #121)
- Location: `file:codeframe/workspace/manager.py` (line 251)
- Extract uploaded .zip or .tar.gz archives
- Initialize git repository in extracted workspace
- Validate extracted structure

**Implementation approach**:
- Use `zipfile` or `tarfile` modules for extraction
- Extract to temporary directory first, then move to workspace_path
- Run `git init` after extraction
- Add validation for required files (e.g., README, package.json)

#### Step 3.5: Add API Pagination Support (Issue #118)
- Enhance `GET /api/projects/{id}/tasks` endpoint
- Already has limit/offset parameters (lines 284-285 in `file:codeframe/ui/routers/projects.py`)
- Add pagination metadata to response: `next_cursor`, `prev_cursor`, `has_more`

**Implementation approach**:
- Calculate `has_more` based on total count vs offset+limit
- Generate cursor tokens for next/previous pages
- Add pagination info to response dict

#### Step 3.6: Complete OpenAPI Documentation (Issue #119)
- Add OpenAPI schemas for all endpoints
- Document request/response models
- Add examples for each endpoint

**Implementation approach**:
- Use FastAPI's built-in OpenAPI support
- Add Pydantic models for all request/response types
- Add docstrings with examples to all router functions
- Verify at `/docs` endpoint

### Phase 4: Git Workflow Enhancements (Week 4-5)

**Objective**: Add advanced Git features (Priority 3)

#### Step 4.1: Implement PR Creation (Issue #116)
- Add method `create_pull_request()` to `file:codeframe/git/workflow_manager.py`
- Use GitHub API to create PR from feature branch to main
- Include issue description and task list in PR body

**Implementation approach**:
- Use PyGithub library (already in dependencies)
- Authenticate with GitHub token from environment
- Create PR with title: `[Issue {issue_number}] {issue_title}`
- Add PR body with task checklist

#### Step 4.2: Implement Merge Conflict Resolution (Issue #117)
- Add method `resolve_merge_conflicts()` to GitWorkflowManager
- Detect conflicts during merge
- Create blocker for human resolution
- Provide conflict details and resolution options

**Implementation approach**:
- Catch `git.GitCommandError` during merge
- Parse conflict markers from affected files
- Create SYNC blocker with conflict details
- Provide options: abort merge, resolve manually, use ours/theirs

### Phase 5: Performance & Load Testing (Week 5-6)

**Objective**: Add performance benchmarks and load testing (Issue #115)

#### Step 5.1: Add Performance Benchmarks
- Create `file:tests/performance/test_benchmarks.py`
- Benchmark key operations: task execution, database queries, context management
- Set baseline performance targets

**Benchmarks to add**:
- Agent task execution: < 5s for simple tasks
- Database query performance: < 100ms for typical queries
- Context tier update: < 500ms for 1000 items
- WebSocket broadcast: < 50ms for 100 connections

#### Step 5.2: Add Load Testing
- Create `file:tests/load/test_concurrent_agents.py`
- Test system with 10+ concurrent agents
- Test WebSocket with 100+ concurrent connections
- Measure resource usage and identify bottlenecks

**Load test scenarios**:
- 10 agents executing tasks simultaneously
- 100 WebSocket clients receiving updates
- 1000 tasks in database with complex dependencies
- Continuous operation for 1 hour

### Phase 6: Validation & Integration Testing (Week 6)

**Objective**: Ensure all components work together correctly

#### Step 6.1: End-to-End Workflow Testing
- Create comprehensive E2E test covering full workflow
- Test: project creation → discovery → PRD → task execution → completion
- Verify all components integrate correctly

**Test file**: `file:tests/e2e/test_complete_workflow.py`

#### Step 6.2: Quality Gate Integration
- Verify quality gates are enforced in WorkerAgent.complete_task()
- Test integration of SkipPatternDetector, QualityTracker, EvidenceVerifier
- Ensure blockers are created when quality gates fail

**Verification points**:
- SkipPatternDetector runs before task completion
- QualityTracker records metrics after test execution
- EvidenceVerifier validates test results
- Blockers created when verification fails

#### Step 6.3: WebSocket Real-time Updates
- Verify WebSocket broadcasts for all event types
- Test subscription management and authorization
- Ensure no message loss during high load

**Test scenarios**:
- Subscribe to project updates
- Verify agent_started, task_assigned, task_completed events
- Test reconnection and state resync
- Verify authorization checks

## Implementation Sequence

```mermaid
graph TD
    A[Phase 1: Documentation Audit] --> B[Phase 2: Test Quality]
    B --> C[Phase 3: Complete TODOs]
    C --> D[Phase 4: Git Enhancements]
    D --> E[Phase 5: Performance Testing]
    E --> F[Phase 6: Validation]
    
    C --> C1[#120 by_day aggregation]
    C --> C2[#123 SDK hooks]
    C --> C3[#122 Parse dependencies]
    C --> C4[#121 Upload extraction]
    C --> C5[#118 API pagination]
    C --> C6[#119 OpenAPI docs]
    
    D --> D1[#116 PR creation]
    D --> D2[#117 Conflict resolution]
    
    E --> E1[#115 Benchmarks]
    E --> E2[#115 Load tests]
```

## Success Criteria

### Phase 1 Complete When:
- ✅ CODEFRAME_ISSUES_ANALYSIS.md accurately reflects implementation status
- ✅ All incorrectly marked "unimplemented" features documented as complete
- ✅ GitHub issues #98-#112 reviewed and closed if implemented

### Phase 2 Complete When:
- ✅ Test audit report generated showing HIGH severity tests
- ✅ At least 80% of HIGH severity tests converted to integration tests
- ✅ Edge case tests added for critical paths
- ✅ Test pass rate remains at 100%

### Phase 3 Complete When:
- ✅ All 6 TODOs implemented and tested
- ✅ by_day aggregation returns correct date-grouped data
- ✅ SDK hooks record tool usage to database
- ✅ Issue dependencies parsed from database
- ✅ Workspace upload extraction works for .zip and .tar.gz
- ✅ API pagination includes next/prev cursors
- ✅ OpenAPI docs complete at /docs endpoint

### Phase 4 Complete When:
- ✅ PR creation works with GitHub API
- ✅ Merge conflicts detected and blocker created
- ✅ Integration tests verify Git workflow

### Phase 5 Complete When:
- ✅ Performance benchmarks established for key operations
- ✅ Load tests pass with 10 concurrent agents
- ✅ WebSocket handles 100+ concurrent connections
- ✅ No memory leaks during 1-hour continuous operation

### Phase 6 Complete When:
- ✅ E2E test covers complete workflow
- ✅ Quality gate integration verified
- ✅ WebSocket real-time updates tested under load
- ✅ All integration tests passing

## Risk Mitigation

| Risk | Impact | Mitigation |
|------|--------|------------|
| Documentation inaccuracy causes confusion | High | Phase 1 must complete first; thorough review required |
| Test conversion breaks existing functionality | High | Convert tests incrementally; maintain 100% pass rate |
| Performance benchmarks reveal bottlenecks | Medium | Identify and document; defer optimization if needed |
| Git workflow changes affect existing projects | Medium | Add feature flags; test with isolated repositories |
| Load testing reveals scalability issues | Low | Document limits; add to future roadmap |

## Dependencies

- **Phase 2** depends on Phase 1 (need accurate documentation)
- **Phase 4** depends on Phase 3 (Git enhancements need core features complete)
- **Phase 6** depends on all previous phases (validation requires complete system)

## Estimated Effort

| Phase | Estimated Time | Priority |
|-------|---------------|----------|
| Phase 1: Documentation | 3-5 days | Critical |
| Phase 2: Test Quality | 5-7 days | High |
| Phase 3: Complete TODOs | 5-7 days | High |
| Phase 4: Git Enhancements | 3-5 days | Medium |
| Phase 5: Performance Testing | 3-5 days | Medium |
| Phase 6: Validation | 2-3 days | High |
| **Total** | **21-32 days** | **~4-6 weeks** |

---

Execution Information

Branch: main
Commit: 52e78e0

[traycerai]

I have updated the Implementation Plan to reflect the recent changes in the ticket.

Previous Plan

Observations

After thorough analysis of the codebase, I've discovered that the CODEFRAME_ISSUES_ANALYSIS.md document is significantly outdated. Most of the Priority 1 (Critical) issues listed in the roadmap are already fully implemented:

• ✅ WorkerAgent.execute_task() - Complete with Anthropic API integration (lines 286-577)
• ✅ Token tracking - Fully implemented via _record_token_usage() (line 493-498)
• ✅ LeadAgent.assign_task() - Complete implementation (lines 623-683)
• ✅ LeadAgent.detect_bottlenecks() - Complete with 4 bottleneck types (lines 840-922)
• ✅ Project.start() - Fully implemented with Lead Agent initialization (lines 129-198)
• ✅ Project.pause() - Complete with flash save mechanism (lines 200-379)
• ✅ Project.get_status() - Comprehensive status gathering (lines 445-613)
• ✅ Project.get_agent() - Lead Agent retrieval (lines 662-687)
• ✅ Database integration - Repository pattern with 17 specialized repositories
• ✅ WebSocket subscription tracking - Fully implemented (lines 204-216 in websocket.py)
• ✅ Quality enforcement components - All three fully implemented (SkipPatternDetector: 458 lines, QualityTracker: 324 lines, EvidenceVerifier: 345 lines)

The actual gaps are minimal and mostly involve advanced features (Priority 3) and test improvements (Priority 2).

Approach

Rather than implementing 26 issues as originally planned, the focus should be on:

1. Verification & Documentation - Update CODEFRAME_ISSUES_ANALYSIS.md to reflect actual implementation status
2. Test Quality Improvements - Convert mocked tests to integration tests where appropriate
3. Minor Feature Completions - Implement the 6 actual TODOs found in the codebase
4. Integration Validation - Ensure all implemented components work together correctly

This approach prioritizes accuracy over volume, ensuring the team understands what's actually complete versus what needs work.

Implementation Plan

Phase 1: Documentation Audit & Update (Week 1)

Objective: Correct the documentation to reflect actual implementation status

Step 1.1: Update CODEFRAME_ISSUES_ANALYSIS.md

• Review each issue mentioned in the analysis document
• Mark implemented features with ✅ status and file references
• Update the "Unimplemented Core Functionality" section to remove completed items
• Add new section "Actually Implemented Features" with evidence (file paths, line numbers)
• Create "Remaining Gaps" section with only the 6 actual TODOs found

Files to update:

• file:CODEFRAME_ISSUES_ANALYSIS.md

Step 1.2: Close Resolved Issues

• Review GitHub issues [P1] Implement WorkerAgent.execute_task() with Anthropic API integration #98-[P2] Implement WorkerAgent.assess_maturity() system #112 (Priority 1 & 2)
• Close issues that are already implemented with comments referencing implementation
• Update issue [P3] Implementation Roadmap: Close Gaps Between Documentation and Implementation #124 (this meta-issue) with corrected status

Reference implementation locations:

• Agent execution: file:codeframe/agents/worker_agent.py (lines 286-577)
• Lead agent coordination: file:codeframe/agents/lead_agent.py (lines 623-922)
• Project lifecycle: file:codeframe/core/project.py (lines 129-687)
• Quality enforcement: file:codeframe/enforcement/ (all three files fully implemented)

Phase 2: Test Quality Improvements (Week 2-3)

Objective: Convert mocked tests to integration tests where appropriate

Step 2.1: Run Test Audit

• Execute file:scripts/audit_mocked_tests.py to identify HIGH severity tests
• Generate report showing tests that mock core functionality
• Prioritize tests that mock: database operations, execute_task(), quality gates

Command:

python scripts/audit_mocked_tests.py --output test_audit_report.md

Step 2.2: Convert HIGH Severity Tests

• Focus on tests in file:tests/agents/ that mock execute_task()
• Convert to integration tests in file:tests/integration/
• Use real in-memory SQLite database instead of mocking Database class
• Use real file operations in temp directories instead of mocking file I/O
• Keep mocking only external APIs (Anthropic, OpenAI)

Test conversion pattern:

Before: @patch('codeframe.agents.worker_agent.WorkerAgent.execute_task')
After: Use real WorkerAgent with mocked AsyncAnthropic client only

Files to modify:

• Tests in file:tests/agents/test_worker_agent.py
• Tests in file:tests/agents/test_lead_agent.py
• Tests in file:tests/agents/test_backend_worker_agent.py

Step 2.3: Add Edge Case Testing

• Identify edge cases from quality gate failures
• Add tests for: empty inputs, malformed data, concurrent operations
• Add tests for error recovery and rollback scenarios

New test files to create:

• file:tests/integration/test_edge_cases_agent_execution.py
• file:tests/integration/test_edge_cases_database.py
• file:tests/integration/test_concurrent_operations.py

Phase 3: Complete Remaining TODOs (Week 3-4)

Objective: Implement the 6 actual TODOs found in the codebase

Step 3.1: Implement by_day Token Aggregation (Issue #120)

• Location: file:codeframe/lib/metrics_tracker.py (line 461)
• Add method get_usage_by_day(project_id, start_date, end_date) to MetricsTracker
• Group token usage by date for timeline visualization
• Return dict with dates as keys and usage stats as values

Implementation approach:

• Query token_usage table with date grouping
• Use SQLite's date() function to extract date from timestamp
• Aggregate input_tokens, output_tokens, and cost by date

Step 3.2: Implement Custom SDK Hooks (Issue #123)

• Location: file:codeframe/lib/sdk_hooks.py (line 242)
• Extend tool-specific metrics recording to database
• Track Write tool usage (files modified, lines changed)
• Track Bash tool usage (commands executed, exit codes)

Implementation approach:

• Add tool_usage table to database schema
• Record tool name, agent_id, task_id, metadata in database
• Add method record_tool_usage() to Database class

Step 3.3: Parse Issue Dependencies (Issue #122)

• Location: file:codeframe/persistence/repositories/issue_repository.py (line 169)
• Parse depends_on field from database storage
• Handle JSON array format: ["2.1", "2.3"]
• Return list of issue numbers

Implementation approach:

• Check if depends_on column exists in issues table
• Parse JSON string to list using json.loads()
• Handle null/empty values gracefully

Step 3.4: Implement Workspace Upload Extraction (Issue #121)

• Location: file:codeframe/workspace/manager.py (line 251)
• Extract uploaded .zip or .tar.gz archives
• Initialize git repository in extracted workspace
• Validate extracted structure

Implementation approach:

• Use zipfile or tarfile modules for extraction
• Extract to temporary directory first, then move to workspace_path
• Run git init after extraction
• Add validation for required files (e.g., README, package.json)

Step 3.5: Add API Pagination Support (Issue #118)

• Enhance GET /api/projects/{id}/tasks endpoint
• Already has limit/offset parameters (lines 284-285 in file:codeframe/ui/routers/projects.py)
• Add pagination metadata to response: next_cursor, prev_cursor, has_more

Implementation approach:

• Calculate has_more based on total count vs offset+limit
• Generate cursor tokens for next/previous pages
• Add pagination info to response dict

Step 3.6: Complete OpenAPI Documentation (Issue #119)

• Add OpenAPI schemas for all endpoints
• Document request/response models
• Add examples for each endpoint

Implementation approach:

• Use FastAPI's built-in OpenAPI support
• Add Pydantic models for all request/response types
• Add docstrings with examples to all router functions
• Verify at /docs endpoint

Phase 4: Git Workflow Enhancements (Week 4-5)

Objective: Add advanced Git features (Priority 3)

Step 4.1: Implement PR Creation (Issue #116)

• Add method create_pull_request() to file:codeframe/git/workflow_manager.py
• Use GitHub API to create PR from feature branch to main
• Include issue description and task list in PR body

Implementation approach:

• Use PyGithub library (already in dependencies)
• Authenticate with GitHub token from environment
• Create PR with title: [Issue {issue_number}] {issue_title}
• Add PR body with task checklist

Step 4.2: Implement Merge Conflict Resolution (Issue #117)

• Add method resolve_merge_conflicts() to GitWorkflowManager
• Detect conflicts during merge
• Create blocker for human resolution
• Provide conflict details and resolution options

Implementation approach:

• Catch git.GitCommandError during merge
• Parse conflict markers from affected files
• Create SYNC blocker with conflict details
• Provide options: abort merge, resolve manually, use ours/theirs

Phase 5: Performance & Load Testing (Week 5-6)

Objective: Add performance benchmarks and load testing (Issue #115)

Step 5.1: Add Performance Benchmarks

• Create file:tests/performance/test_benchmarks.py
• Benchmark key operations: task execution, database queries, context management
• Set baseline performance targets

Benchmarks to add:

• Agent task execution: < 5s for simple tasks
• Database query performance: < 100ms for typical queries
• Context tier update: < 500ms for 1000 items
• WebSocket broadcast: < 50ms for 100 connections

Step 5.2: Add Load Testing

• Create file:tests/load/test_concurrent_agents.py
• Test system with 10+ concurrent agents
• Test WebSocket with 100+ concurrent connections
• Measure resource usage and identify bottlenecks

Load test scenarios:

• 10 agents executing tasks simultaneously
• 100 WebSocket clients receiving updates
• 1000 tasks in database with complex dependencies
• Continuous operation for 1 hour

Phase 6: Validation & Integration Testing (Week 6)

Objective: Ensure all components work together correctly

Step 6.1: End-to-End Workflow Testing

• Create comprehensive E2E test covering full workflow
• Test: project creation → discovery → PRD → task execution → completion
• Verify all components integrate correctly

Test file: file:tests/e2e/test_complete_workflow.py

Step 6.2: Quality Gate Integration

• Verify quality gates are enforced in WorkerAgent.complete_task()
• Test integration of SkipPatternDetector, QualityTracker, EvidenceVerifier
• Ensure blockers are created when quality gates fail

Verification points:

• SkipPatternDetector runs before task completion
• QualityTracker records metrics after test execution
• EvidenceVerifier validates test results
• Blockers created when verification fails

Step 6.3: WebSocket Real-time Updates

• Verify WebSocket broadcasts for all event types
• Test subscription management and authorization
• Ensure no message loss during high load

Test scenarios:

• Subscribe to project updates
• Verify agent_started, task_assigned, task_completed events
• Test reconnection and state resync
• Verify authorization checks

Implementation Sequence

graph TD
    A[Phase 1: Documentation Audit] --> B[Phase 2: Test Quality]
    B --> C[Phase 3: Complete TODOs]
    C --> D[Phase 4: Git Enhancements]
    D --> E[Phase 5: Performance Testing]
    E --> F[Phase 6: Validation]
    
    C --> C1[#120 by_day aggregation]
    C --> C2[#123 SDK hooks]
    C --> C3[#122 Parse dependencies]
    C --> C4[#121 Upload extraction]
    C --> C5[#118 API pagination]
    C --> C6[#119 OpenAPI docs]
    
    D --> D1[#116 PR creation]
    D --> D2[#117 Conflict resolution]
    
    E --> E1[#115 Benchmarks]
    E --> E2[#115 Load tests]

Loading

Success Criteria

Phase 1 Complete When:

• ✅ CODEFRAME_ISSUES_ANALYSIS.md accurately reflects implementation status
• ✅ All incorrectly marked "unimplemented" features documented as complete
• ✅ GitHub issues [P1] Implement WorkerAgent.execute_task() with Anthropic API integration #98-[P2] Implement WorkerAgent.assess_maturity() system #112 reviewed and closed if implemented

Phase 2 Complete When:

• ✅ Test audit report generated showing HIGH severity tests
• ✅ At least 80% of HIGH severity tests converted to integration tests
• ✅ Edge case tests added for critical paths
• ✅ Test pass rate remains at 100%

Phase 3 Complete When:

• ✅ All 6 TODOs implemented and tested
• ✅ by_day aggregation returns correct date-grouped data
• ✅ SDK hooks record tool usage to database
• ✅ Issue dependencies parsed from database
• ✅ Workspace upload extraction works for .zip and .tar.gz
• ✅ API pagination includes next/prev cursors
• ✅ OpenAPI docs complete at /docs endpoint

Phase 4 Complete When:

• ✅ PR creation works with GitHub API
• ✅ Merge conflicts detected and blocker created
• ✅ Integration tests verify Git workflow

Phase 5 Complete When:

• ✅ Performance benchmarks established for key operations
• ✅ Load tests pass with 10 concurrent agents
• ✅ WebSocket handles 100+ concurrent connections
• ✅ No memory leaks during 1-hour continuous operation

Phase 6 Complete When:

• ✅ E2E test covers complete workflow
• ✅ Quality gate integration verified
• ✅ WebSocket real-time updates tested under load
• ✅ All integration tests passing

Risk Mitigation

Risk	Impact	Mitigation
Documentation inaccuracy causes confusion	High	Phase 1 must complete first; thorough review required
Test conversion breaks existing functionality	High	Convert tests incrementally; maintain 100% pass rate
Performance benchmarks reveal bottlenecks	Medium	Identify and document; defer optimization if needed
Git workflow changes affect existing projects	Medium	Add feature flags; test with isolated repositories
Load testing reveals scalability issues	Low	Document limits; add to future roadmap

Dependencies

• Phase 2 depends on Phase 1 (need accurate documentation)
• Phase 4 depends on Phase 3 (Git enhancements need core features complete)
• Phase 6 depends on all previous phases (validation requires complete system)

Estimated Effort

Phase	Estimated Time	Priority
Phase 1: Documentation	3-5 days	Critical
Phase 2: Test Quality	5-7 days	High
Phase 3: Complete TODOs	5-7 days	High
Phase 4: Git Enhancements	3-5 days	Medium
Phase 5: Performance Testing	3-5 days	Medium
Phase 6: Validation	2-3 days	High
Total	21-32 days	~4-6 weeks

Import In IDE

🤖 Prompt for AI Agents

## Observations

After thorough analysis of the codebase, I've discovered that **the CODEFRAME_ISSUES_ANALYSIS.md document is significantly outdated**. Most of the Priority 1 (Critical) issues listed in the roadmap are **already fully implemented**:

- ✅ WorkerAgent.execute_task() - Complete with Anthropic API integration (lines 286-577)
- ✅ Token tracking - Fully implemented via _record_token_usage() (line 493-498)
- ✅ LeadAgent.assign_task() - Complete implementation (lines 623-683)
- ✅ LeadAgent.detect_bottlenecks() - Complete with 4 bottleneck types (lines 840-922)
- ✅ Project.start() - Fully implemented with Lead Agent initialization (lines 129-198)
- ✅ Project.pause() - Complete with flash save mechanism (lines 200-379)
- ✅ Project.get_status() - Comprehensive status gathering (lines 445-613)
- ✅ Project.get_agent() - Lead Agent retrieval (lines 662-687)
- ✅ Database integration - Repository pattern with 17 specialized repositories
- ✅ WebSocket subscription tracking - Fully implemented (lines 204-216 in websocket.py)
- ✅ Quality enforcement components - All three fully implemented (SkipPatternDetector: 458 lines, QualityTracker: 324 lines, EvidenceVerifier: 345 lines)

The **actual gaps** are minimal and mostly involve advanced features (Priority 3) and test improvements (Priority 2).

## Approach

Rather than implementing 26 issues as originally planned, the focus should be on:

1. **Verification & Documentation** - Update CODEFRAME_ISSUES_ANALYSIS.md to reflect actual implementation status
2. **Test Quality Improvements** - Convert mocked tests to integration tests where appropriate
3. **Minor Feature Completions** - Implement the 6 actual TODOs found in the codebase
4. **Integration Validation** - Ensure all implemented components work together correctly

This approach prioritizes accuracy over volume, ensuring the team understands what's actually complete versus what needs work.

## Implementation Plan

### Phase 1: Documentation Audit & Update (Week 1)

**Objective**: Correct the documentation to reflect actual implementation status

#### Step 1.1: Update CODEFRAME_ISSUES_ANALYSIS.md
- Review each issue mentioned in the analysis document
- Mark implemented features with ✅ status and file references
- Update the "Unimplemented Core Functionality" section to remove completed items
- Add new section "Actually Implemented Features" with evidence (file paths, line numbers)
- Create "Remaining Gaps" section with only the 6 actual TODOs found

**Files to update**:
- `file:CODEFRAME_ISSUES_ANALYSIS.md`

#### Step 1.2: Close Resolved Issues
- Review GitHub issues #98-#112 (Priority 1 & 2)
- Close issues that are already implemented with comments referencing implementation
- Update issue #124 (this meta-issue) with corrected status

**Reference implementation locations**:
- Agent execution: `file:codeframe/agents/worker_agent.py` (lines 286-577)
- Lead agent coordination: `file:codeframe/agents/lead_agent.py` (lines 623-922)
- Project lifecycle: `file:codeframe/core/project.py` (lines 129-687)
- Quality enforcement: `file:codeframe/enforcement/` (all three files fully implemented)

### Phase 2: Test Quality Improvements (Week 2-3)

**Objective**: Convert mocked tests to integration tests where appropriate

#### Step 2.1: Run Test Audit
- Execute `file:scripts/audit_mocked_tests.py` to identify HIGH severity tests
- Generate report showing tests that mock core functionality
- Prioritize tests that mock: database operations, execute_task(), quality gates

**Command**:
```bash
python scripts/audit_mocked_tests.py --output test_audit_report.md
```

#### Step 2.2: Convert HIGH Severity Tests
- Focus on tests in `file:tests/agents/` that mock execute_task()
- Convert to integration tests in `file:tests/integration/`
- Use real in-memory SQLite database instead of mocking Database class
- Use real file operations in temp directories instead of mocking file I/O
- Keep mocking only external APIs (Anthropic, OpenAI)

**Test conversion pattern**:
```
Before: @patch('codeframe.agents.worker_agent.WorkerAgent.execute_task')
After: Use real WorkerAgent with mocked AsyncAnthropic client only
```

**Files to modify**:
- Tests in `file:tests/agents/test_worker_agent.py`
- Tests in `file:tests/agents/test_lead_agent.py`
- Tests in `file:tests/agents/test_backend_worker_agent.py`

#### Step 2.3: Add Edge Case Testing
- Identify edge cases from quality gate failures
- Add tests for: empty inputs, malformed data, concurrent operations
- Add tests for error recovery and rollback scenarios

**New test files to create**:
- `file:tests/integration/test_edge_cases_agent_execution.py`
- `file:tests/integration/test_edge_cases_database.py`
- `file:tests/integration/test_concurrent_operations.py`

### Phase 3: Complete Remaining TODOs (Week 3-4)

**Objective**: Implement the 6 actual TODOs found in the codebase

#### Step 3.1: Implement by_day Token Aggregation (Issue #120)
- Location: `file:codeframe/lib/metrics_tracker.py` (line 461)
- Add method `get_usage_by_day(project_id, start_date, end_date)` to MetricsTracker
- Group token usage by date for timeline visualization
- Return dict with dates as keys and usage stats as values

**Implementation approach**:
- Query `token_usage` table with date grouping
- Use SQLite's `date()` function to extract date from timestamp
- Aggregate input_tokens, output_tokens, and cost by date

#### Step 3.2: Implement Custom SDK Hooks (Issue #123)
- Location: `file:codeframe/lib/sdk_hooks.py` (line 242)
- Extend tool-specific metrics recording to database
- Track Write tool usage (files modified, lines changed)
- Track Bash tool usage (commands executed, exit codes)

**Implementation approach**:
- Add `tool_usage` table to database schema
- Record tool name, agent_id, task_id, metadata in database
- Add method `record_tool_usage()` to Database class

#### Step 3.3: Parse Issue Dependencies (Issue #122)
- Location: `file:codeframe/persistence/repositories/issue_repository.py` (line 169)
- Parse `depends_on` field from database storage
- Handle JSON array format: `["2.1", "2.3"]`
- Return list of issue numbers

**Implementation approach**:
- Check if `depends_on` column exists in issues table
- Parse JSON string to list using `json.loads()`
- Handle null/empty values gracefully

#### Step 3.4: Implement Workspace Upload Extraction (Issue #121)
- Location: `file:codeframe/workspace/manager.py` (line 251)
- Extract uploaded .zip or .tar.gz archives
- Initialize git repository in extracted workspace
- Validate extracted structure

**Implementation approach**:
- Use `zipfile` or `tarfile` modules for extraction
- Extract to temporary directory first, then move to workspace_path
- Run `git init` after extraction
- Add validation for required files (e.g., README, package.json)

#### Step 3.5: Add API Pagination Support (Issue #118)
- Enhance `GET /api/projects/{id}/tasks` endpoint
- Already has limit/offset parameters (lines 284-285 in `file:codeframe/ui/routers/projects.py`)
- Add pagination metadata to response: `next_cursor`, `prev_cursor`, `has_more`

**Implementation approach**:
- Calculate `has_more` based on total count vs offset+limit
- Generate cursor tokens for next/previous pages
- Add pagination info to response dict

#### Step 3.6: Complete OpenAPI Documentation (Issue #119)
- Add OpenAPI schemas for all endpoints
- Document request/response models
- Add examples for each endpoint

**Implementation approach**:
- Use FastAPI's built-in OpenAPI support
- Add Pydantic models for all request/response types
- Add docstrings with examples to all router functions
- Verify at `/docs` endpoint

### Phase 4: Git Workflow Enhancements (Week 4-5)

**Objective**: Add advanced Git features (Priority 3)

#### Step 4.1: Implement PR Creation (Issue #116)
- Add method `create_pull_request()` to `file:codeframe/git/workflow_manager.py`
- Use GitHub API to create PR from feature branch to main
- Include issue description and task list in PR body

**Implementation approach**:
- Use PyGithub library (already in dependencies)
- Authenticate with GitHub token from environment
- Create PR with title: `[Issue {issue_number}] {issue_title}`
- Add PR body with task checklist

#### Step 4.2: Implement Merge Conflict Resolution (Issue #117)
- Add method `resolve_merge_conflicts()` to GitWorkflowManager
- Detect conflicts during merge
- Create blocker for human resolution
- Provide conflict details and resolution options

**Implementation approach**:
- Catch `git.GitCommandError` during merge
- Parse conflict markers from affected files
- Create SYNC blocker with conflict details
- Provide options: abort merge, resolve manually, use ours/theirs

### Phase 5: Performance & Load Testing (Week 5-6)

**Objective**: Add performance benchmarks and load testing (Issue #115)

#### Step 5.1: Add Performance Benchmarks
- Create `file:tests/performance/test_benchmarks.py`
- Benchmark key operations: task execution, database queries, context management
- Set baseline performance targets

**Benchmarks to add**:
- Agent task execution: < 5s for simple tasks
- Database query performance: < 100ms for typical queries
- Context tier update: < 500ms for 1000 items
- WebSocket broadcast: < 50ms for 100 connections

#### Step 5.2: Add Load Testing
- Create `file:tests/load/test_concurrent_agents.py`
- Test system with 10+ concurrent agents
- Test WebSocket with 100+ concurrent connections
- Measure resource usage and identify bottlenecks

**Load test scenarios**:
- 10 agents executing tasks simultaneously
- 100 WebSocket clients receiving updates
- 1000 tasks in database with complex dependencies
- Continuous operation for 1 hour

### Phase 6: Validation & Integration Testing (Week 6)

**Objective**: Ensure all components work together correctly

#### Step 6.1: End-to-End Workflow Testing
- Create comprehensive E2E test covering full workflow
- Test: project creation → discovery → PRD → task execution → completion
- Verify all components integrate correctly

**Test file**: `file:tests/e2e/test_complete_workflow.py`

#### Step 6.2: Quality Gate Integration
- Verify quality gates are enforced in WorkerAgent.complete_task()
- Test integration of SkipPatternDetector, QualityTracker, EvidenceVerifier
- Ensure blockers are created when quality gates fail

**Verification points**:
- SkipPatternDetector runs before task completion
- QualityTracker records metrics after test execution
- EvidenceVerifier validates test results
- Blockers created when verification fails

#### Step 6.3: WebSocket Real-time Updates
- Verify WebSocket broadcasts for all event types
- Test subscription management and authorization
- Ensure no message loss during high load

**Test scenarios**:
- Subscribe to project updates
- Verify agent_started, task_assigned, task_completed events
- Test reconnection and state resync
- Verify authorization checks

## Implementation Sequence

```mermaid
graph TD
    A[Phase 1: Documentation Audit] --> B[Phase 2: Test Quality]
    B --> C[Phase 3: Complete TODOs]
    C --> D[Phase 4: Git Enhancements]
    D --> E[Phase 5: Performance Testing]
    E --> F[Phase 6: Validation]
    
    C --> C1[#120 by_day aggregation]
    C --> C2[#123 SDK hooks]
    C --> C3[#122 Parse dependencies]
    C --> C4[#121 Upload extraction]
    C --> C5[#118 API pagination]
    C --> C6[#119 OpenAPI docs]
    
    D --> D1[#116 PR creation]
    D --> D2[#117 Conflict resolution]
    
    E --> E1[#115 Benchmarks]
    E --> E2[#115 Load tests]
```

## Success Criteria

### Phase 1 Complete When:
- ✅ CODEFRAME_ISSUES_ANALYSIS.md accurately reflects implementation status
- ✅ All incorrectly marked "unimplemented" features documented as complete
- ✅ GitHub issues #98-#112 reviewed and closed if implemented

### Phase 2 Complete When:
- ✅ Test audit report generated showing HIGH severity tests
- ✅ At least 80% of HIGH severity tests converted to integration tests
- ✅ Edge case tests added for critical paths
- ✅ Test pass rate remains at 100%

### Phase 3 Complete When:
- ✅ All 6 TODOs implemented and tested
- ✅ by_day aggregation returns correct date-grouped data
- ✅ SDK hooks record tool usage to database
- ✅ Issue dependencies parsed from database
- ✅ Workspace upload extraction works for .zip and .tar.gz
- ✅ API pagination includes next/prev cursors
- ✅ OpenAPI docs complete at /docs endpoint

### Phase 4 Complete When:
- ✅ PR creation works with GitHub API
- ✅ Merge conflicts detected and blocker created
- ✅ Integration tests verify Git workflow

### Phase 5 Complete When:
- ✅ Performance benchmarks established for key operations
- ✅ Load tests pass with 10 concurrent agents
- ✅ WebSocket handles 100+ concurrent connections
- ✅ No memory leaks during 1-hour continuous operation

### Phase 6 Complete When:
- ✅ E2E test covers complete workflow
- ✅ Quality gate integration verified
- ✅ WebSocket real-time updates tested under load
- ✅ All integration tests passing

## Risk Mitigation

| Risk | Impact | Mitigation |
|------|--------|------------|
| Documentation inaccuracy causes confusion | High | Phase 1 must complete first; thorough review required |
| Test conversion breaks existing functionality | High | Convert tests incrementally; maintain 100% pass rate |
| Performance benchmarks reveal bottlenecks | Medium | Identify and document; defer optimization if needed |
| Git workflow changes affect existing projects | Medium | Add feature flags; test with isolated repositories |
| Load testing reveals scalability issues | Low | Document limits; add to future roadmap |

## Dependencies

- **Phase 2** depends on Phase 1 (need accurate documentation)
- **Phase 4** depends on Phase 3 (Git enhancements need core features complete)
- **Phase 6** depends on all previous phases (validation requires complete system)

## Estimated Effort

| Phase | Estimated Time | Priority |
|-------|---------------|----------|
| Phase 1: Documentation | 3-5 days | Critical |
| Phase 2: Test Quality | 5-7 days | High |
| Phase 3: Complete TODOs | 5-7 days | High |
| Phase 4: Git Enhancements | 3-5 days | Medium |
| Phase 5: Performance Testing | 3-5 days | Medium |
| Phase 6: Validation | 2-3 days | High |
| **Total** | **21-32 days** | **~4-6 weeks** |

---

Execution Information

Branch: main
Commit: 52e78e0

New Plan

Observations

The GitHub issue #124 presents a comprehensive roadmap for closing gaps between CodeFRAME's documented functionality and actual implementation. The roadmap organizes 26 issues across 6 phases with three priority levels. However, the roadmap itself requires validation against the actual codebase state to ensure accuracy and prevent wasted effort on already-completed work.

The implementation strategy should focus on:

1. Validation & Audit - Verify which issues are actually unimplemented vs. already complete
2. Documentation Accuracy - Ensure CODEFRAME_ISSUES_ANALYSIS.md reflects true implementation status
3. Prioritized Execution - Focus on genuinely missing functionality rather than re-implementing existing code
4. Quality Assurance - Improve test coverage and integration validation
5. Feature Completion - Implement remaining Priority 3 features for completeness

This approach ensures the roadmap accurately reflects work needed and prevents duplicating already-completed implementations.

Implementation Plan

Phase 1: Codebase Audit & Issue Validation (Week 1)

Objective: Verify actual implementation status of all 26 issues in the roadmap

Step 1.1: Systematic Issue Audit

• Create audit script to scan codebase for each issue's requirements
• For each Priority 1 issue ([P1] Implement WorkerAgent.execute_task() with Anthropic API integration #98-[P1] Implement Project.get_agent() Lead Agent retrieval #108):
  • Check if core functionality is implemented (not just stubbed)
  • Verify integration with other components
  • Document implementation status with file references and line numbers
  • Identify any gaps or incomplete implementations
• For each Priority 2 issue ([P2] Integrate SkipPatternDetector into WorkerAgent.complete_task() #109-[Future] Add performance and load testing benchmarks #115):
  • Check test coverage and quality enforcement integration
  • Identify mocked vs. real tests
  • Document test gaps
• For each Priority 3 issue ([P3] Enhance GitWorkflowManager with PR creation #116-[Future] Implement custom SDK hooks for tool-specific metrics #123):
  • Check if feature is partially or fully implemented
  • Document remaining work

Audit output: Create IMPLEMENTATION_STATUS_AUDIT.md with:

• ✅ Fully Implemented issues (with evidence)
• 🟡 Partially Implemented issues (with gaps identified)
• ❌ Not Implemented issues (with requirements)

Step 1.2: Update CODEFRAME_ISSUES_ANALYSIS.md

• Incorporate audit findings into analysis document
• Update "Unimplemented Core Functionality" section based on audit
• Add "Implementation Status Summary" with counts by priority
• Create "Verified Gaps" section with only genuinely missing functionality
• Add cross-references to GitHub issues

Files to update:

• file:CODEFRAME_ISSUES_ANALYSIS.md
• Create file:IMPLEMENTATION_STATUS_AUDIT.md

Step 1.3: Reconcile Roadmap with Reality

• Compare original roadmap assumptions with audit findings
• Identify issues that can be closed as already complete
• Identify issues that need scope adjustment
• Create revised priority list based on actual gaps
• Update issue [P3] Implementation Roadmap: Close Gaps Between Documentation and Implementation #124 with corrected progress tracking

Deliverables:

• Audit report showing true implementation status
• Updated CODEFRAME_ISSUES_ANALYSIS.md
• Revised issue list with accurate completion status

Phase 2: Prioritized Issue Resolution (Weeks 2-4)

Objective: Implement genuinely missing functionality based on audit findings

Step 2.1: Resolve Confirmed Priority 1 Gaps

• For each Priority 1 issue marked as "Not Implemented" in audit:
  • Implement core functionality with full integration
  • Add comprehensive tests (integration, not mocked)
  • Verify integration with dependent components
  • Update documentation with implementation details

Expected outcomes:

• All Priority 1 issues either closed (already complete) or fully implemented
• No stubbed methods or TODO comments in critical paths
• Full test coverage for all agent execution flows

Step 2.2: Resolve Confirmed Priority 2 Gaps

• For each Priority 2 issue marked as "Not Implemented":
  • Implement quality enforcement integration
  • Convert mocked tests to integration tests
  • Add edge case testing
  • Verify quality gates are enforced

Expected outcomes:

• Quality enforcement fully integrated into WorkerAgent
• Test suite converted from mocked to integration-based
• Edge cases covered for all critical paths

Step 2.3: Implement Confirmed Priority 3 Gaps

• For each Priority 3 issue marked as "Not Implemented":
  • Implement feature with full integration
  • Add tests and documentation
  • Ensure backward compatibility

Expected outcomes:

• All Priority 3 features implemented
• API pagination, OpenAPI docs, Git enhancements complete
• Token aggregation and workspace features working

Phase 3: Test Quality & Coverage Improvements (Weeks 4-5)

Objective: Ensure comprehensive test coverage with real integration tests

Step 3.1: Audit Test Suite

• Run test audit script to identify mocked vs. integration tests
• Categorize tests by:
  • HIGH severity: Mock core functionality (execute_task, database, quality gates)
  • MEDIUM severity: Mock external APIs (Anthropic, GitHub)
  • LOW severity: Mock utility functions
• Generate report with conversion priorities

Deliverables:

• Test audit report with severity classifications
• List of HIGH severity tests requiring conversion
• Conversion strategy for each test category

Step 3.2: Convert HIGH Severity Tests

• Convert tests that mock core functionality to integration tests
• Use real in-memory SQLite database instead of mocking Database class
• Use real file operations in temp directories
• Keep mocking only external APIs (Anthropic, GitHub, etc.)

Test conversion approach:

• Create integration test fixtures with real database setup
• Replace @patch decorators with real component initialization
• Use AsyncAnthropic mock client for API calls
• Verify test behavior matches real execution

Files to modify:

• file:tests/agents/test_worker_agent.py
• file:tests/agents/test_lead_agent.py
• file:tests/core/test_project.py
• file:tests/enforcement/test_quality_tracker.py

Step 3.3: Add Edge Case & Performance Testing

• Add tests for edge cases: empty inputs, malformed data, concurrent operations
• Add tests for error recovery and rollback scenarios
• Add performance benchmarks for critical paths
• Add load testing for concurrent agent execution

New test files:

• file:tests/integration/test_edge_cases.py
• file:tests/integration/test_concurrent_operations.py
• file:tests/performance/test_benchmarks.py
• file:tests/load/test_concurrent_agents.py

Success criteria:

• All HIGH severity tests converted to integration tests
• Test pass rate remains at 100%
• Edge cases covered for all critical paths
• Performance benchmarks established

Phase 4: Advanced Features Implementation (Weeks 5-6)

Objective: Implement remaining Priority 3 features for completeness

Step 4.1: Git Workflow Enhancements

• Implement PR creation (Issue [P3] Enhance GitWorkflowManager with PR creation #116):

  • Add create_pull_request() method to GitWorkflowManager
  • Use GitHub API with PyGithub library
  • Include issue description and task checklist in PR body
  • Create PR with title: [Issue {issue_number}] {issue_title}

• Implement merge conflict resolution (Issue [P3] Enhance GitWorkflowManager with merge conflict resolution #117):

  • Add resolve_merge_conflicts() method
  • Detect conflicts during merge operations
  • Create SYNC blocker with conflict details
  • Provide resolution options: abort, manual, ours/theirs

Files to modify:

• file:codeframe/git/workflow_manager.py

Step 4.2: API & Documentation Enhancements

• Add API pagination support (Issue [P3] Add API pagination support for large datasets #118):

  • Enhance GET /api/projects/{id}/tasks endpoint
  • Add pagination metadata: next_cursor, prev_cursor, has_more
  • Calculate has_more based on total count vs offset+limit

• Complete OpenAPI documentation (Issue [P3] Complete OpenAPI documentation for all endpoints #119):

  • Add OpenAPI schemas for all endpoints
  • Document request/response models with Pydantic
  • Add examples and descriptions to all router functions
  • Verify documentation at /docs endpoint

Files to modify:

• file:codeframe/ui/routers/projects.py
• file:codeframe/ui/routers/tasks.py
• All router files

Step 4.3: Metrics & Analytics Features

• Implement by_day token aggregation (Issue [Future] Implement by_day token usage aggregation in MetricsTracker #120):

  • Add get_usage_by_day() method to MetricsTracker
  • Group token usage by date for timeline visualization
  • Use SQLite's date() function for aggregation

• Implement custom SDK hooks (Issue [Future] Implement custom SDK hooks for tool-specific metrics #123):

  • Extend tool-specific metrics recording to database
  • Track Write tool usage (files modified, lines changed)
  • Track Bash tool usage (commands executed, exit codes)
  • Add record_tool_usage() method to Database class

Files to modify:

• file:codeframe/lib/metrics_tracker.py
• file:codeframe/lib/sdk_hooks.py
• file:codeframe/persistence/database.py

Step 4.4: Workspace & Issue Management

• Implement workspace upload extraction (Issue [Future] Implement workspace upload extraction #121):

  • Extract .zip and .tar.gz archives
  • Initialize git repository in extracted workspace
  • Validate extracted structure

• Parse issue dependencies (Issue [Future] Parse issue dependencies from database storage #122):

  • Parse depends_on field from database storage
  • Handle JSON array format: ["2.1", "2.3"]
  • Return list of issue numbers with validation

Files to modify:

• file:codeframe/workspace/manager.py
• file:codeframe/persistence/repositories/issue_repository.py

Phase 5: Integration Validation & E2E Testing (Week 6)

Objective: Verify all components work together correctly

Step 5.1: End-to-End Workflow Testing

• Create comprehensive E2E test covering complete workflow:
  • Project creation with initialization
  • Issue discovery and analysis
  • PRD generation
  • Task assignment and execution
  • Quality gate verification
  • Task completion and reporting
• Verify all components integrate correctly
• Test error handling and recovery

Test file: file:tests/e2e/test_complete_workflow.py

Verification points:

• Project starts with Lead Agent initialization
• Tasks are assigned and executed via WorkerAgent
• Quality gates are enforced before completion
• WebSocket broadcasts all events correctly
• Database persists all state changes

Step 5.2: Quality Gate Integration Verification

• Verify quality gates are enforced in WorkerAgent.complete_task()
• Test integration of all three quality components:
  • SkipPatternDetector: Detects skipped tests
  • QualityTracker: Records test metrics
  • EvidenceVerifier: Validates test results
• Ensure blockers are created when quality gates fail
• Test recovery from quality gate failures

Verification points:

• SkipPatternDetector runs before task completion
• QualityTracker records metrics after test execution
• EvidenceVerifier validates test results
• Blockers created with proper details when verification fails
• Tasks can be retried after quality gate failures

Step 5.3: WebSocket Real-time Communication

• Verify WebSocket broadcasts for all event types
• Test subscription management and authorization
• Ensure no message loss during high load
• Test reconnection and state resync

Test scenarios:

• Subscribe to project updates
• Verify all event types: agent_started, task_assigned, task_completed, blocker_created
• Test reconnection with state resync
• Verify authorization checks for subscriptions
• Test broadcast to multiple concurrent subscribers

Phase 6: Documentation & Knowledge Base Update (Week 6-7)

Objective: Ensure documentation reflects actual implementation

Step 6.1: Update Implementation Documentation

• Update CODEFRAME_ISSUES_ANALYSIS.md with final status
• Document all implemented features with file references
• Create implementation guide for each major component
• Add troubleshooting section for common issues

Files to update:

• file:CODEFRAME_ISSUES_ANALYSIS.md
• file:CLAUDE.md (if needed)
• file:README.md (if needed)

Step 6.2: Update User Documentation

• Verify CODEFRAME_USER_DOCUMENTATION.md matches implementation
• Add examples for all documented features
• Document any limitations or known issues
• Add troubleshooting guide

Files to update:

• file:CODEFRAME_USER_DOCUMENTATION.md

Step 6.3: Create Implementation Guides

• Create guide for extending agents with custom tools
• Create guide for adding new quality enforcement rules
• Create guide for integrating new external APIs
• Create guide for deploying to production

New files to create:

• file:IMPLEMENTATION_GUIDES.md
• file:EXTENDING_AGENTS.md
• file:QUALITY_ENFORCEMENT_GUIDE.md

Implementation Sequence

graph TD
    A[Phase 1: Audit & Validation] --> B[Phase 2: Issue Resolution]
    B --> C[Phase 3: Test Quality]
    C --> D[Phase 4: Advanced Features]
    D --> E[Phase 5: Integration Testing]
    E --> F[Phase 6: Documentation]
    
    B --> B1[P1 Issues]
    B --> B2[P2 Issues]
    B --> B3[P3 Issues]
    
    D --> D1[#116-117 Git]
    D --> D2[#118-119 API]
    D --> D3[#120-123 Features]
    
    E --> E1[E2E Tests]
    E --> E2[Quality Gates]
    E --> E3[WebSocket]

Loading

Success Criteria

Phase 1 Complete When:

• ✅ Audit report identifies all implemented vs. unimplemented issues
• ✅ CODEFRAME_ISSUES_ANALYSIS.md updated with accurate status
• ✅ GitHub issues reviewed and categorized correctly
• ✅ Revised priority list created based on actual gaps

Phase 2 Complete When:

• ✅ All confirmed Priority 1 gaps implemented
• ✅ All confirmed Priority 2 gaps implemented
• ✅ All confirmed Priority 3 gaps implemented
• ✅ No stubbed methods or TODO comments in critical paths
• ✅ Full test coverage for all implementations

Phase 3 Complete When:

• ✅ Test audit report generated with severity classifications
• ✅ HIGH severity tests converted to integration tests
• ✅ Edge case tests added for critical paths
• ✅ Performance benchmarks established
• ✅ Test pass rate at 100%

Phase 4 Complete When:

• ✅ PR creation implemented and tested
• ✅ Merge conflict resolution implemented and tested
• ✅ API pagination working with metadata
• ✅ OpenAPI documentation complete
• ✅ Token aggregation by day working
• ✅ SDK hooks recording tool usage
• ✅ Issue dependencies parsed correctly
• ✅ Workspace upload extraction working

Phase 5 Complete When:

• ✅ E2E test covers complete workflow
• ✅ Quality gate integration verified
• ✅ WebSocket real-time updates tested
• ✅ All integration tests passing
• ✅ No regressions in existing functionality

Phase 6 Complete When:

• ✅ All documentation updated and accurate
• ✅ Implementation guides created
• ✅ User documentation matches implementation
• ✅ Troubleshooting guide available

Risk Mitigation

Risk	Impact	Mitigation
Audit reveals more gaps than expected	High	Prioritize by impact; defer non-critical features
Test conversion breaks existing functionality	High	Convert incrementally; maintain 100% pass rate
Performance benchmarks reveal bottlenecks	Medium	Document limits; optimize critical paths first
Git workflow changes affect existing projects	Medium	Add feature flags; test with isolated repos
Documentation becomes outdated quickly	Medium	Automate doc generation where possible
Load testing reveals scalability issues	Low	Document limits; add to future roadmap

Dependencies

• Phase 2 depends on Phase 1 (audit determines what to implement)
• Phase 3 depends on Phase 2 (test conversion requires completed implementations)
• Phase 4 depends on Phase 3 (advanced features need solid test foundation)
• Phase 5 depends on Phase 4 (E2E tests require all features complete)
• Phase 6 depends on Phase 5 (documentation reflects final implementation)

Estimated Effort

Phase	Estimated Time	Priority
Phase 1: Audit & Validation	3-5 days	Critical
Phase 2: Issue Resolution	7-10 days	High
Phase 3: Test Quality	5-7 days	High
Phase 4: Advanced Features	5-7 days	Medium
Phase 5: Integration Testing	3-5 days	High
Phase 6: Documentation	2-3 days	Medium
Total	25-37 days	~5-7 weeks

Import In IDE

🤖 Prompt for AI Agents

## Observations

The GitHub issue #124 presents a comprehensive roadmap for closing gaps between CodeFRAME's documented functionality and actual implementation. The roadmap organizes 26 issues across 6 phases with three priority levels. However, the roadmap itself requires validation against the actual codebase state to ensure accuracy and prevent wasted effort on already-completed work.

The implementation strategy should focus on:

1. **Validation & Audit** - Verify which issues are actually unimplemented vs. already complete
2. **Documentation Accuracy** - Ensure CODEFRAME_ISSUES_ANALYSIS.md reflects true implementation status
3. **Prioritized Execution** - Focus on genuinely missing functionality rather than re-implementing existing code
4. **Quality Assurance** - Improve test coverage and integration validation
5. **Feature Completion** - Implement remaining Priority 3 features for completeness

This approach ensures the roadmap accurately reflects work needed and prevents duplicating already-completed implementations.

## Implementation Plan

### Phase 1: Codebase Audit & Issue Validation (Week 1)

**Objective**: Verify actual implementation status of all 26 issues in the roadmap

#### Step 1.1: Systematic Issue Audit
- Create audit script to scan codebase for each issue's requirements
- For each Priority 1 issue (#98-#108):
  - Check if core functionality is implemented (not just stubbed)
  - Verify integration with other components
  - Document implementation status with file references and line numbers
  - Identify any gaps or incomplete implementations
- For each Priority 2 issue (#109-#115):
  - Check test coverage and quality enforcement integration
  - Identify mocked vs. real tests
  - Document test gaps
- For each Priority 3 issue (#116-#123):
  - Check if feature is partially or fully implemented
  - Document remaining work

**Audit output**: Create `IMPLEMENTATION_STATUS_AUDIT.md` with:
- ✅ Fully Implemented issues (with evidence)
- 🟡 Partially Implemented issues (with gaps identified)
- ❌ Not Implemented issues (with requirements)

#### Step 1.2: Update CODEFRAME_ISSUES_ANALYSIS.md
- Incorporate audit findings into analysis document
- Update "Unimplemented Core Functionality" section based on audit
- Add "Implementation Status Summary" with counts by priority
- Create "Verified Gaps" section with only genuinely missing functionality
- Add cross-references to GitHub issues

**Files to update**:
- `file:CODEFRAME_ISSUES_ANALYSIS.md`
- Create `file:IMPLEMENTATION_STATUS_AUDIT.md`

#### Step 1.3: Reconcile Roadmap with Reality
- Compare original roadmap assumptions with audit findings
- Identify issues that can be closed as already complete
- Identify issues that need scope adjustment
- Create revised priority list based on actual gaps
- Update issue #124 with corrected progress tracking

**Deliverables**:
- Audit report showing true implementation status
- Updated CODEFRAME_ISSUES_ANALYSIS.md
- Revised issue list with accurate completion status

### Phase 2: Prioritized Issue Resolution (Weeks 2-4)

**Objective**: Implement genuinely missing functionality based on audit findings

#### Step 2.1: Resolve Confirmed Priority 1 Gaps
- For each Priority 1 issue marked as "Not Implemented" in audit:
  - Implement core functionality with full integration
  - Add comprehensive tests (integration, not mocked)
  - Verify integration with dependent components
  - Update documentation with implementation details

**Expected outcomes**:
- All Priority 1 issues either closed (already complete) or fully implemented
- No stubbed methods or TODO comments in critical paths
- Full test coverage for all agent execution flows

#### Step 2.2: Resolve Confirmed Priority 2 Gaps
- For each Priority 2 issue marked as "Not Implemented":
  - Implement quality enforcement integration
  - Convert mocked tests to integration tests
  - Add edge case testing
  - Verify quality gates are enforced

**Expected outcomes**:
- Quality enforcement fully integrated into WorkerAgent
- Test suite converted from mocked to integration-based
- Edge cases covered for all critical paths

#### Step 2.3: Implement Confirmed Priority 3 Gaps
- For each Priority 3 issue marked as "Not Implemented":
  - Implement feature with full integration
  - Add tests and documentation
  - Ensure backward compatibility

**Expected outcomes**:
- All Priority 3 features implemented
- API pagination, OpenAPI docs, Git enhancements complete
- Token aggregation and workspace features working

### Phase 3: Test Quality & Coverage Improvements (Weeks 4-5)

**Objective**: Ensure comprehensive test coverage with real integration tests

#### Step 3.1: Audit Test Suite
- Run test audit script to identify mocked vs. integration tests
- Categorize tests by:
  - HIGH severity: Mock core functionality (execute_task, database, quality gates)
  - MEDIUM severity: Mock external APIs (Anthropic, GitHub)
  - LOW severity: Mock utility functions
- Generate report with conversion priorities

**Deliverables**:
- Test audit report with severity classifications
- List of HIGH severity tests requiring conversion
- Conversion strategy for each test category

#### Step 3.2: Convert HIGH Severity Tests
- Convert tests that mock core functionality to integration tests
- Use real in-memory SQLite database instead of mocking Database class
- Use real file operations in temp directories
- Keep mocking only external APIs (Anthropic, GitHub, etc.)

**Test conversion approach**:
- Create integration test fixtures with real database setup
- Replace @patch decorators with real component initialization
- Use AsyncAnthropic mock client for API calls
- Verify test behavior matches real execution

**Files to modify**:
- `file:tests/agents/test_worker_agent.py`
- `file:tests/agents/test_lead_agent.py`
- `file:tests/core/test_project.py`
- `file:tests/enforcement/test_quality_tracker.py`

#### Step 3.3: Add Edge Case & Performance Testing
- Add tests for edge cases: empty inputs, malformed data, concurrent operations
- Add tests for error recovery and rollback scenarios
- Add performance benchmarks for critical paths
- Add load testing for concurrent agent execution

**New test files**:
- `file:tests/integration/test_edge_cases.py`
- `file:tests/integration/test_concurrent_operations.py`
- `file:tests/performance/test_benchmarks.py`
- `file:tests/load/test_concurrent_agents.py`

**Success criteria**:
- All HIGH severity tests converted to integration tests
- Test pass rate remains at 100%
- Edge cases covered for all critical paths
- Performance benchmarks established

### Phase 4: Advanced Features Implementation (Weeks 5-6)

**Objective**: Implement remaining Priority 3 features for completeness

#### Step 4.1: Git Workflow Enhancements
- Implement PR creation (Issue #116):
  - Add `create_pull_request()` method to GitWorkflowManager
  - Use GitHub API with PyGithub library
  - Include issue description and task checklist in PR body
  - Create PR with title: `[Issue {issue_number}] {issue_title}`

- Implement merge conflict resolution (Issue #117):
  - Add `resolve_merge_conflicts()` method
  - Detect conflicts during merge operations
  - Create SYNC blocker with conflict details
  - Provide resolution options: abort, manual, ours/theirs

**Files to modify**:
- `file:codeframe/git/workflow_manager.py`

#### Step 4.2: API & Documentation Enhancements
- Add API pagination support (Issue #118):
  - Enhance `GET /api/projects/{id}/tasks` endpoint
  - Add pagination metadata: `next_cursor`, `prev_cursor`, `has_more`
  - Calculate has_more based on total count vs offset+limit

- Complete OpenAPI documentation (Issue #119):
  - Add OpenAPI schemas for all endpoints
  - Document request/response models with Pydantic
  - Add examples and descriptions to all router functions
  - Verify documentation at `/docs` endpoint

**Files to modify**:
- `file:codeframe/ui/routers/projects.py`
- `file:codeframe/ui/routers/tasks.py`
- All router files

#### Step 4.3: Metrics & Analytics Features
- Implement by_day token aggregation (Issue #120):
  - Add `get_usage_by_day()` method to MetricsTracker
  - Group token usage by date for timeline visualization
  - Use SQLite's `date()` function for aggregation

- Implement custom SDK hooks (Issue #123):
  - Extend tool-specific metrics recording to database
  - Track Write tool usage (files modified, lines changed)
  - Track Bash tool usage (commands executed, exit codes)
  - Add `record_tool_usage()` method to Database class

**Files to modify**:
- `file:codeframe/lib/metrics_tracker.py`
- `file:codeframe/lib/sdk_hooks.py`
- `file:codeframe/persistence/database.py`

#### Step 4.4: Workspace & Issue Management
- Implement workspace upload extraction (Issue #121):
  - Extract .zip and .tar.gz archives
  - Initialize git repository in extracted workspace
  - Validate extracted structure

- Parse issue dependencies (Issue #122):
  - Parse `depends_on` field from database storage
  - Handle JSON array format: `["2.1", "2.3"]`
  - Return list of issue numbers with validation

**Files to modify**:
- `file:codeframe/workspace/manager.py`
- `file:codeframe/persistence/repositories/issue_repository.py`

### Phase 5: Integration Validation & E2E Testing (Week 6)

**Objective**: Verify all components work together correctly

#### Step 5.1: End-to-End Workflow Testing
- Create comprehensive E2E test covering complete workflow:
  - Project creation with initialization
  - Issue discovery and analysis
  - PRD generation
  - Task assignment and execution
  - Quality gate verification
  - Task completion and reporting
- Verify all components integrate correctly
- Test error handling and recovery

**Test file**: `file:tests/e2e/test_complete_workflow.py`

**Verification points**:
- Project starts with Lead Agent initialization
- Tasks are assigned and executed via WorkerAgent
- Quality gates are enforced before completion
- WebSocket broadcasts all events correctly
- Database persists all state changes

#### Step 5.2: Quality Gate Integration Verification
- Verify quality gates are enforced in WorkerAgent.complete_task()
- Test integration of all three quality components:
  - SkipPatternDetector: Detects skipped tests
  - QualityTracker: Records test metrics
  - EvidenceVerifier: Validates test results
- Ensure blockers are created when quality gates fail
- Test recovery from quality gate failures

**Verification points**:
- SkipPatternDetector runs before task completion
- QualityTracker records metrics after test execution
- EvidenceVerifier validates test results
- Blockers created with proper details when verification fails
- Tasks can be retried after quality gate failures

#### Step 5.3: WebSocket Real-time Communication
- Verify WebSocket broadcasts for all event types
- Test subscription management and authorization
- Ensure no message loss during high load
- Test reconnection and state resync

**Test scenarios**:
- Subscribe to project updates
- Verify all event types: agent_started, task_assigned, task_completed, blocker_created
- Test reconnection with state resync
- Verify authorization checks for subscriptions
- Test broadcast to multiple concurrent subscribers

### Phase 6: Documentation & Knowledge Base Update (Week 6-7)

**Objective**: Ensure documentation reflects actual implementation

#### Step 6.1: Update Implementation Documentation
- Update CODEFRAME_ISSUES_ANALYSIS.md with final status
- Document all implemented features with file references
- Create implementation guide for each major component
- Add troubleshooting section for common issues

**Files to update**:
- `file:CODEFRAME_ISSUES_ANALYSIS.md`
- `file:CLAUDE.md` (if needed)
- `file:README.md` (if needed)

#### Step 6.2: Update User Documentation
- Verify CODEFRAME_USER_DOCUMENTATION.md matches implementation
- Add examples for all documented features
- Document any limitations or known issues
- Add troubleshooting guide

**Files to update**:
- `file:CODEFRAME_USER_DOCUMENTATION.md`

#### Step 6.3: Create Implementation Guides
- Create guide for extending agents with custom tools
- Create guide for adding new quality enforcement rules
- Create guide for integrating new external APIs
- Create guide for deploying to production

**New files to create**:
- `file:IMPLEMENTATION_GUIDES.md`
- `file:EXTENDING_AGENTS.md`
- `file:QUALITY_ENFORCEMENT_GUIDE.md`

## Implementation Sequence

```mermaid
graph TD
    A[Phase 1: Audit & Validation] --> B[Phase 2: Issue Resolution]
    B --> C[Phase 3: Test Quality]
    C --> D[Phase 4: Advanced Features]
    D --> E[Phase 5: Integration Testing]
    E --> F[Phase 6: Documentation]
    
    B --> B1[P1 Issues]
    B --> B2[P2 Issues]
    B --> B3[P3 Issues]
    
    D --> D1[#116-117 Git]
    D --> D2[#118-119 API]
    D --> D3[#120-123 Features]
    
    E --> E1[E2E Tests]
    E --> E2[Quality Gates]
    E --> E3[WebSocket]
```

## Success Criteria

### Phase 1 Complete When:
- ✅ Audit report identifies all implemented vs. unimplemented issues
- ✅ CODEFRAME_ISSUES_ANALYSIS.md updated with accurate status
- ✅ GitHub issues reviewed and categorized correctly
- ✅ Revised priority list created based on actual gaps

### Phase 2 Complete When:
- ✅ All confirmed Priority 1 gaps implemented
- ✅ All confirmed Priority 2 gaps implemented
- ✅ All confirmed Priority 3 gaps implemented
- ✅ No stubbed methods or TODO comments in critical paths
- ✅ Full test coverage for all implementations

### Phase 3 Complete When:
- ✅ Test audit report generated with severity classifications
- ✅ HIGH severity tests converted to integration tests
- ✅ Edge case tests added for critical paths
- ✅ Performance benchmarks established
- ✅ Test pass rate at 100%

### Phase 4 Complete When:
- ✅ PR creation implemented and tested
- ✅ Merge conflict resolution implemented and tested
- ✅ API pagination working with metadata
- ✅ OpenAPI documentation complete
- ✅ Token aggregation by day working
- ✅ SDK hooks recording tool usage
- ✅ Issue dependencies parsed correctly
- ✅ Workspace upload extraction working

### Phase 5 Complete When:
- ✅ E2E test covers complete workflow
- ✅ Quality gate integration verified
- ✅ WebSocket real-time updates tested
- ✅ All integration tests passing
- ✅ No regressions in existing functionality

### Phase 6 Complete When:
- ✅ All documentation updated and accurate
- ✅ Implementation guides created
- ✅ User documentation matches implementation
- ✅ Troubleshooting guide available

## Risk Mitigation

| Risk | Impact | Mitigation |
|------|--------|------------|
| Audit reveals more gaps than expected | High | Prioritize by impact; defer non-critical features |
| Test conversion breaks existing functionality | High | Convert incrementally; maintain 100% pass rate |
| Performance benchmarks reveal bottlenecks | Medium | Document limits; optimize critical paths first |
| Git workflow changes affect existing projects | Medium | Add feature flags; test with isolated repos |
| Documentation becomes outdated quickly | Medium | Automate doc generation where possible |
| Load testing reveals scalability issues | Low | Document limits; add to future roadmap |

## Dependencies

- **Phase 2** depends on Phase 1 (audit determines what to implement)
- **Phase 3** depends on Phase 2 (test conversion requires completed implementations)
- **Phase 4** depends on Phase 3 (advanced features need solid test foundation)
- **Phase 5** depends on Phase 4 (E2E tests require all features complete)
- **Phase 6** depends on Phase 5 (documentation reflects final implementation)

## Estimated Effort

| Phase | Estimated Time | Priority |
|-------|---------------|----------|
| Phase 1: Audit & Validation | 3-5 days | Critical |
| Phase 2: Issue Resolution | 7-10 days | High |
| Phase 3: Test Quality | 5-7 days | High |
| Phase 4: Advanced Features | 5-7 days | Medium |
| Phase 5: Integration Testing | 3-5 days | High |
| Phase 6: Documentation | 2-3 days | Medium |
| **Total** | **25-37 days** | **~5-7 weeks** |

---

Execution Information

Branch: main
Commit: 52e78e0