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fix: Clean up rationale and benefits sections in roadmap and trace templates
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roadmap.md

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@@ -276,7 +276,7 @@ Architecture support is now available in all workflow modes as optional commands
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- **Description**: Auto-generate OpenAPI/JSON Schema from plan.md into `contracts/` folder to make specifications "executable" and enable automated API validation
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- **Status**: ❌ Not planned for implementation
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- **Rationale**:
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- **Rationale**:
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- Deferred to prioritize core workflow fixes (Build Mode bugs, async context delivery)
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- Manual contract creation is sufficient for current use cases
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- Can be revisited after core functionality is stable and proven in production
@@ -287,7 +287,7 @@ Architecture support is now available in all workflow modes as optional commands
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- **Description**: Automated detection of spec-code misalignment in `/analyze` command to catch divergences between documented requirements and actual implementation
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- **Status**: ❌ Not planned for implementation
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- **Rationale**:
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- **Rationale**:
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- Deferred to prioritize core workflow stability
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- Manual code reviews and `/analyze` command provide sufficient validation for now
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- Requires Schema Generation (above) as prerequisite
@@ -325,12 +325,12 @@ Architecture support is now available in all workflow modes as optional commands
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- Embed generated diagrams directly in architecture.md sections for integrated documentation
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- Update `/architect map` to generate diagrams when reverse-engineering from existing codebases
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- Integrate diagram validation in `/architect review` command
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- **Benefits**:
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- **Benefits**:
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- Visual communication for stakeholders who prefer diagrams over text
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- Enables architecture validation through visual inspection
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- Improves architecture documentation accessibility for non-technical audiences
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- Supports standard Mermaid syntax for version control and diffing
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- **Implementation**:
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- **Implementation**:
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- Add diagram generation logic to `scripts/bash/setup-architecture.sh` and PowerShell equivalent
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- Create template snippets for each viewpoint's Mermaid diagram structure
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- Update `templates/architecture-template.md` with diagram placeholders

templates/commands/trace.md

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@@ -13,6 +13,7 @@ validation_script:
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The `/trace` command generates comprehensive AI session execution traces from implementation metadata and feature artifacts. Traces include a **human-friendly Summary** (Problem → Key Decisions → Final Solution) followed by detailed technical sections for tool integration and learning.
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**Purpose**:
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- **Narrative summary** - Quick scan of what happened (Problem/Decisions/Solution)
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- Document AI agent session for reusability
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- Capture decision-making patterns and problem-solving approaches
@@ -28,7 +29,7 @@ The `/trace` command generates comprehensive AI session execution traces from im
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Run `/trace` after completing `/implement` to capture the full execution session:
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```
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```text
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/implement → tasks_meta.json created
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/trace → Generate session trace
@@ -39,6 +40,7 @@ specs/{BRANCH}/trace.md created
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```
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**Best Practices**:
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- Run after all tasks complete and quality gates pass
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- Generate before `/levelup` for richer context packets
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- Re-run to update trace as understanding evolves
@@ -64,14 +66,17 @@ If any prerequisite fails, **STOP** with clear error message directing user to r
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The generation script automatically extracts:
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#### Summary Section (NEW)
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Human-friendly 3-part narrative placed at the top:
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**Problem**:
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- Extracted from spec mission + all user stories
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- Synthesized into 1-2 sentence goal statement
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- Example: "Implement user authentication with JWT tokens and refresh token rotation"
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**Key Decisions** (chronologically):
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- Architecture decisions (framework, design choices)
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- Technology choices (libraries, tools)
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- Testing strategy (TDD, risk-based)
@@ -82,6 +87,7 @@ Human-friendly 3-part narrative placed at the top:
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- Example: "1. Chose React with TypeScript 2. Implemented TDD approach 3. Applied dual execution loop..."
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**Final Solution**:
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- Outcome statement with key metrics
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- Quality gate pass rate
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- User story completion count
@@ -92,27 +98,32 @@ Human-friendly 3-part narrative placed at the top:
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---
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#### Section 1: Session Overview
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- Feature title and mission
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- Key architectural decisions from plan
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- Implementation approach summary
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#### Section 2: Decision Patterns
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- Triage classification (SYNC vs ASYNC breakdown)
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- Technology choices and stack
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- Problem-solving approaches used
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#### Section 3: Execution Context
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- Quality gate statistics (passed/failed/total)
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- Execution modes distribution (SYNC/ASYNC)
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- Review status (micro-reviewed/macro-reviewed)
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- MCP job tracking (if applicable)
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#### Section 4: Reusable Patterns
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- Effective methodologies (ASYNC delegation success, micro-review patterns)
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- Testing approaches (TDD, risk-based testing)
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- Applicable contexts for pattern reuse
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#### Section 5: Evidence Links
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- Implementation commits and messages
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- Issue tracker references (@issue-tracker links)
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- Modified code paths
@@ -132,15 +143,18 @@ Human-friendly 3-part narrative placed at the top:
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#### Validation Criteria
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**Section Completeness**:
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- ✅ Each section exists and has ≥5 lines
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- ✅ All 5 sections present (80%+ coverage required)
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**Quality Indicators**:
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- Quality gate pass rate ≥80% (warning if lower)
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- Evidence links include commits and issues
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- Reusable patterns identified
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**Coverage Thresholds**:
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- **100%**: All sections complete - Excellent
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- **80-99%**: Most sections complete - Good
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- **<80%**: Incomplete trace - Needs improvement
@@ -149,7 +163,7 @@ Human-friendly 3-part narrative placed at the top:
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Display validation report including:
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```
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```text
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✅ Trace generation complete
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File: specs/001-feature-name/trace.md
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Sections: Summary + 5 sections (6/6)
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If validation fails (coverage <80%), show warnings and recommendations:
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```
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```text
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⚠️ Warnings:
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- Reusable Patterns section missing or incomplete
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@@ -182,12 +196,14 @@ If validation fails (coverage <80%), show warnings and recommendations:
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## Mode Awareness
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### Build Mode
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- Trace generation supported
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- Lighter context capture
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- Focused on core execution data
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- Suitable for lightweight learning
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### Spec Mode
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- Comprehensive trace generation
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- Full decision pattern analysis
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- Detailed evidence linking
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## Key Features
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**Automatic Extraction**:
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- No manual input required
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- Parses tasks_meta.json for execution data
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- Reads spec, plan, tasks for context
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- Extracts git history and issue references
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**Idempotent Operation**:
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- Re-running `/trace` overwrites previous trace
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- Always reflects latest execution state
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- Single trace.md per feature (latest)
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**Integration Points**:
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- `/levelup` reads trace.md if exists (optional)
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- `/analyze` can validate trace completeness
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- Version-controlled with feature artifacts
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## Common Scenarios
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### Scenario 1: Post-Implementation Trace
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```
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```text
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User: /trace
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Agent: [Generates trace from tasks_meta.json]
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Result: specs/001-feature/trace.md created with 5 sections
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```
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### Scenario 2: Trace Before Levelup
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```
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```text
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User: /trace
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Agent: [Generates comprehensive trace]
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User: /levelup
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Agent: [Reads trace.md for enriched context packet]
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```
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### Scenario 3: Update Existing Trace
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```
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```text
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User: /trace
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Agent: [Overwrites previous trace with latest execution data]
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Result: Updated trace reflects current implementation state
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## Error Handling
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**Missing Prerequisites**:
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```
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```text
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ERROR: tasks_meta.json not found
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Please run /implement before generating a trace.
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```
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**Invalid JSON**:
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```
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```text
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ERROR: tasks_meta.json is not valid JSON
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Check execution metadata for corruption.
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```
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**Validation Failures**:
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- Non-blocking: Trace still generated
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- Warnings displayed with recommendations
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- User can address gaps and re-run `/trace`

templates/trace-template.md

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@@ -9,31 +9,37 @@ Branch: {BRANCH_NAME}
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## Summary
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### Problem
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{PROBLEM_STATEMENT}
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Brief description of the initial goal extracted from spec mission and all user stories. This should be 1-2 sentences summarizing what needed to be implemented.
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**Example**:
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- "Implement user authentication system with JWT tokens and refresh token rotation"
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- "Implement blood coagulation cascade with Factor IX activation and proper enzyme sequencing"
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### Key Decisions
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{NUMBERED_DECISIONS_LIST}
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Chronological list of significant decisions made during implementation. Includes architecture, technology, testing, process, and integration decisions.
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**Example**:
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1. Chose React with TypeScript for type-safe component development
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2. Implemented TDD approach with 90%+ code coverage requirement
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3. Applied dual execution loop with 5 SYNC (micro-reviewed) and 3 ASYNC (agent-delegated) tasks
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4. Integrated issue tracking with 6 @issue-tracker references for traceability
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### Final Solution
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{OUTCOME_STATEMENT}
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Brief description of what was accomplished with key metrics (quality gate pass rate, user story completion, evidence).
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**Example**:
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- "Delivered User Authentication implementation with 8/8 quality gates passed (100% pass rate). All 4 user stories implemented with comprehensive validation. Documented in commit a1b2c3d with 6 supporting issue tracker references."
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---
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Summary of AI agent approach for implementing this feature, including mission statement, key architectural decisions, and implementation strategy.
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**Example**:
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- Mission: Implement user authentication with JWT tokens
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- Key Decisions: Use bcrypt for password hashing, implement refresh token rotation
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- Approach: Test-driven development with comprehensive security testing
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Documentation of problem-solving approaches, triage decisions, and technology choices made during implementation.
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**Triage Classification**:
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- SYNC (human-reviewed) tasks: {SYNC_COUNT}
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- ASYNC (agent-delegated) tasks: {ASYNC_COUNT}
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- Total tasks: {TOTAL_TASKS}
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**Technology Choices**:
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- List key technology decisions
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- Framework selections and rationale
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- Library choices and alternatives considered
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**Problem-Solving Approaches**:
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- Dual execution loop (SYNC/ASYNC) methodology
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- Task decomposition strategy
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- Integration patterns used
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Detailed execution metadata including quality gates, review status, and MCP tracking results.
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**Quality Gates**:
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- Passed: {GATES_PASSED}
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- Failed: {GATES_FAILED}
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- Total: {GATES_TOTAL}
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- Pass Rate: {PASS_RATE}%
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**Execution Modes**:
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- SYNC tasks (micro-reviewed): {SYNC_COUNT}
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- ASYNC tasks (macro-reviewed): {ASYNC_COUNT}
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**Review Status**:
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- Micro-reviewed: {MICRO_REVIEWED}
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- Macro-reviewed: {MACRO_REVIEWED}
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**MCP Tracking** (if applicable):
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- MCP job submissions: {MCP_JOBS}
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- Completion status: {MCP_STATUS}
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Identification of effective methodologies and patterns applicable to similar contexts.
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**Effective Methodologies**:
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- ASYNC delegation: {ASYNC_SUCCESS} tasks successfully delegated and validated
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- Micro-review workflow: {MICRO_SUCCESS} tasks validated through micro-reviews
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- Testing approach: {TESTING_APPROACH}
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**Pattern Examples**:
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1. **Pattern Name**: Brief description of what worked well
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- Context: When to apply this pattern
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- Benefits: Why this approach was effective
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- Reusability: Broader applicability
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**Applicable Contexts**:
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- Similar features requiring dual execution loop
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- Projects with SYNC/ASYNC task classification
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- Spec-driven development workflows
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References to implementation artifacts, commits, issues, and code paths for traceability.
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**Implementation Commit**: {COMMIT_SHA}
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- Message: {COMMIT_MESSAGE}
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- Date: {COMMIT_DATE}
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**Issue References**:
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- {ISSUE_1}
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- {ISSUE_2}
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- ... (all @issue-tracker references from artifacts)
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**Code Paths Modified**:
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- {FILE_1}
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- {FILE_2}
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- {FILE_3}
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- ... (from tasks_meta.json)
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**Feature Artifacts**:
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- Specification: specs/{FEATURE_ID}/spec.md
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- Implementation Plan: specs/{FEATURE_ID}/plan.md
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- Task List: specs/{FEATURE_ID}/tasks.md
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- Execution Metadata: specs/{FEATURE_ID}/tasks_meta.json
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- Session Trace: specs/{FEATURE_ID}/trace.md (this file)
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**Additional Context**:
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- Research documentation: specs/{FEATURE_ID}/research.md (if exists)
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- Quickstart guide: specs/{FEATURE_ID}/quickstart.md (if exists)
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- Contract definitions: specs/{FEATURE_ID}/contracts/ (if exists)

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