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Deployment of CodeQL .yaml for GitHub Workflows
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Pull Request Overview
This PR adds a GitHub Actions workflow file to enable CodeQL code scanning for security analysis. CodeQL is GitHub's semantic code analysis engine that helps identify security vulnerabilities and coding errors.
- Adds a new workflow file for automated CodeQL security scanning
- Configures analysis for Actions and JavaScript/TypeScript languages
- Sets up the workflow to run on pushes, pull requests to main branch, and weekly scheduled scans
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| # Initializes the CodeQL tools for scanning. | ||
| - name: Initialize CodeQL | ||
| uses: github/codeql-action/init@v3 |
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| exit 1 | ||
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| - name: Perform CodeQL Analysis | ||
| uses: github/codeql-action/analyze@v3 |
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| - if: matrix.build-mode == 'manual' | ||
| shell: bash | ||
| run: | | ||
| echo 'If you are using a "manual" build mode for one or more of the' \ | ||
| 'languages you are analyzing, replace this with the commands to build' \ | ||
| 'your code, for example:' | ||
| echo ' make bootstrap' | ||
| echo ' make release' | ||
| exit 1 | ||
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The manual build mode step always exits with failure (exit 1) and contains placeholder text. This will cause the workflow to fail if manual build mode is ever used. Consider either removing this step or providing actual build commands for manual mode.
Suggested change
| - if: matrix.build-mode == 'manual' | |
| shell: bash | |
| run: | | |
| echo 'If you are using a "manual" build mode for one or more of the' \ | |
| 'languages you are analyzing, replace this with the commands to build' \ | |
| 'your code, for example:' | |
| echo ' make bootstrap' | |
| echo ' make release' | |
| exit 1 | |
| # (Manual build mode step removed. If manual build is needed, add appropriate build commands here.) |
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This pull request sets up GitHub code scanning for this repository. Once the scans have completed and the checks have passed, the analysis results for this pull request branch will appear on this overview. Once you merge this pull request, the 'Security' tab will show more code scanning analysis results (for example, for the default branch). Depending on your configuration and choice of analysis tool, future pull requests will be annotated with code scanning analysis results. For more information about GitHub code scanning, check out the documentation. |
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Author
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Approved insertion of CodeQL.yaml. |
clduab11
pushed a commit
that referenced
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Nov 11, 2025
Implement Three Queues workflow for managing Sprint 8 aftermath and future development. Provides RICE-based prioritization framework, automated setup scripts, and detailed documentation for solo dev workflow optimization. ## Key Deliverables ### 1. Triage System Documentation (3 files, 1,200+ lines) **TRIAGE_SPRINT_8_AFTERMATH.md** (600+ lines) - Complete analysis of 28 issues spawned from Sprint 8 - RICE framework prioritization (Reach, Impact, Confidence, Effort) - Three Queues organization: - Queue 1: Critical Path (3 P0 issues) - Queue 2: Active Sprint (12 P1 candidates) - Queue 3: Quick Wins (5 P2 small tasks) - Backlog: 8 P2/P3 future issues - 4-week sprint plan with themed weeks - Definition of Done templates for scope control - Metrics and success criteria **GITHUB_PROJECTS_SETUP.md** (400+ lines) - Step-by-step GitHub Projects board setup - Custom views configuration (Board, Priority, Type, Sprint Planning) - Custom fields (Priority, Effort, Type, Est. Hours) - Automation workflows and GitHub Actions integration - Weekly workflow (Monday planning, daily standup, Friday retro) - Troubleshooting guide and advanced tips - New contributor onboarding process **TRIAGE_QUICK_START.md** (200+ lines) - 30-minute setup guide - Prerequisites and authentication - Step-by-step execution plan - Week 1 stabilization focus - Common commands reference - Success metrics ### 2. Automation Scripts (2 files, 200+ lines) **create-github-labels.sh** (100+ lines) - Creates 13 labels in 3 categories - Type labels: critical-bug, agent-ux, infra, monitoring, enhancement, tech-debt - Priority labels: P0, P1, P2, P3 - Effort labels: E-small, E-medium, E-large - Color-coded for visual triage - Force update for idempotent execution **create-critical-issues.sh** (100+ lines) - Automatically creates 3 critical P0 issues: - Issue #1: Super Terminal missing node-fetch dependency - Issue #2: StoreAdapter response format incompatibility - Issue #3: Docker environment variables not documented - Full issue descriptions with Definition of Done - Proper labeling and prioritization - Ready for immediate work ### 3. Issue Identification (28 total) **Critical Path (P0 - 3 issues):** 1. Super Terminal StoreAdapter missing node-fetch dependency (E-small) 2. StoreAdapter response format incompatible with Sprint 7 API (E-small) 3. Docker Compose environment variables not documented (E-small) **Active Sprint Candidates (P1 - 12 issues):** 4. Super Terminal should use WebSocket instead of polling (E-medium) 5. No end-to-end testing suite (E-large) 6. Backend database should use SQLite instead of JSON (E-medium) 7. Frontend WebSocket integration not tested (E-small) 8. Setup script should verify Super Terminal compilation (E-small) 9. API authentication should support multiple API keys (E-medium) 10. MetricsPanel should display backend API status (E-medium) 11. Workflow execution not implemented in backend (E-large) 12. Docker images not published to registry (E-medium) 13. No CI/CD pipeline for automated testing and deployment (E-large) 14. Workflow import/export not integrated in TUI (E-medium) 15. Rate limiting should use Redis instead of in-memory (E-medium) **Quick Wins (P2 - 5 issues):** 16. Add .env.example to project root (E-small) 17. Add health check endpoint to frontend (E-small) 18. Improve error messages in StoreAdapter (E-small) 19. Add version command to Super Terminal (E-small) 20. Add CORS configuration to .env (E-small) **Backlog (P2/P3 - 8 issues):** 21. Advanced authentication (JWT, OAuth, user accounts) (E-large) 22. Swagger/OpenAPI documentation for API (E-medium) 23. Workflow templates library (E-large) 24. Collaborative editing (multiple users) (E-large) 25. AI-powered workflow suggestions (E-large) 26. Migrate to PostgreSQL for production (E-large) 27. Structured logging with Winston/Pino (E-medium) 28. Prometheus metrics collection (E-medium) ## Workflow Benefits ### For Solo Developers: - ✅ Ruthless prioritization (RICE framework) - ✅ Scope control (Definition of Done templates) - ✅ Forward velocity (weekly micro-sprints) - ✅ Mental break work (Quick Wins queue) - ✅ No scope creep (out-of-scope sections) - ✅ Objective metrics (queue health indicators) ### Three Queues System: **Queue 1 (Critical Path):** Max 3 items, P0 only, nothing else until clear **Queue 2 (Active Sprint):** Max 5 items, weekly themed selection **Queue 3 (Quick Wins):** Max 10 items, E-small only, mental breaks ### Weekly Cadence: - **Monday (30 min):** Triage, theme week, load Active Sprint - **Daily (15 min):** Pick 1 item, work, update status - **Friday (30 min):** Close, defer, celebrate, plan next week ## Sprint 8 Context This triage system addresses the "successful sprint crisis" following Sprint 8 (System Integration & Developer Experience). Sprint 8 delivered: - Frontend WebSocket integration (372 lines) - Setup automation (290 lines) - Docker deployment (122 lines) - Comprehensive documentation (1,400+ lines) The aggressive scope opened a flood of follow-up issues spanning infra, dependencies, integration, testing, monitoring, and UX improvements. This triage system provides structure to manage the complexity while maintaining forward velocity. ## Usage ### Quick Start (30 minutes): ```bash # 1. Create labels ./scripts/create-github-labels.sh # 2. Create GitHub Projects board (manual) # Follow: docs/GITHUB_PROJECTS_SETUP.md # 3. Create critical issues ./scripts/create-critical-issues.sh # 4. Start work on Issue #1 gh issue list --label P0 ``` ### Weekly Workflow: - Week 1: Stabilization & Critical Fixes (P0 issues) - Week 2: Testing & Quality Assurance (Issue #5, #13) - Week 3: Infrastructure Hardening (Issue #6, #9, #12) - Week 4: Agent UX & Monitoring (Issue #10, #14, #11) ## Technical Implementation ### RICE Framework Application: - **Reach:** How many users/workflows affected? - **Impact:** Critical (blocks), High (degrades), Medium (improves), Low (nice-to-have) - **Confidence:** High (certain), Medium (likely), Low (uncertain) - **Effort:** Small (<2h), Medium (2-8h), Large (>8h) ### Queue Assignment Logic: - P0 + any effort → Queue 1 (Critical Path) - P1 + E-medium/large → Queue 2 (Active Sprint) - P1/P2 + E-small → Queue 3 (Quick Wins) - P2/P3 → Backlog ### Success Metrics: - Queue 1: Target 0-3 items, Warning 4-5, Critical >5 - Queue 2: Target 3-5 items, Warning >7, Critical >10 - Queue 3: Target 5-10 items, Warning >15 - Weekly velocity: Track completed hours vs estimated ## Files Structure ``` gemini-flow/ ├── docs/ │ ├── TRIAGE_SPRINT_8_AFTERMATH.md # Full triage (600+ lines) │ ├── GITHUB_PROJECTS_SETUP.md # Board setup (400+ lines) │ └── TRIAGE_QUICK_START.md # Quick start (200+ lines) └── scripts/ ├── create-github-labels.sh # Label automation (100+ lines) └── create-critical-issues.sh # P0 issue creation (100+ lines) ``` ## Next Steps 1. **Immediate (Today):** - Run label creation script - Set up GitHub Projects board - Create P0 issues - Start Issue #1 (node-fetch dependency) 2. **Week 1 (Stabilization):** - Complete all 3 P0 issues - Test end-to-end sync - Verify Docker deployment - Document findings 3. **Week 2+ (Systematic Progress):** - Follow weekly themes - Maintain queue health - Track velocity - Iterate on process ## Impact This triage system transforms post-sprint chaos into systematic, sustainable progress. By combining RICE prioritization, WIP limits, weekly themes, and tight scope control, it enables solo developers to ship modular AI features at scale without burnout or scope creep. --- Sprint 8 Aftermath Management: Complete 28 Issues Identified, Prioritized, and Queued Ready for Systematic Execution 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
clduab11
pushed a commit
that referenced
this pull request
Nov 17, 2025
Add reference implementation of GitHub Projects V2 GraphQL automation for automatic issue-to-board syncing based on labels.⚠️ IMPORTANT: This is PREMATURE OPTIMIZATION⚠️ DO NOT USE until: - ✅ All P0 issues completed (Issue #1, #2, #3) - ✅ Week 1 sprint validated - ✅ Manual workflow tested with real data - ✅ Measured time spent on manual triage (< 10 min/week) Features: - Auto-sync issues to project board based on P0/P1/P2/P3 labels - Automatic column placement (Critical Path, Active Sprint, Quick Wins, Backlog) - GraphQL API for GitHub Projects V2 - Pre-flight checks to prevent premature use Script includes: - Interactive warnings before execution - Confirmation prompts - Flexible column name matching - Error handling and troubleshooting - Summary statistics Usage (after Week 2+): 1. Update PROJECT_NUMBER in script 2. Run: ./scripts/sync-issues-to-project.sh 3. Confirm you've completed P0 issues ROI Analysis: - Build time: 4-6 hours - Time saved: ~5 min/week - Break-even: 48+ weeks Recommendation: Fix Issue #1 instead (1 hour, unblocks integration) Classification: - Type: infra, enhancement - Priority: P2 (nice-to-have) - Effort: E-medium (4-6 hours) - Triage: Defer to Week 3+ (after manual workflow validated) Related: - docs/TRIAGE_SPRINT_8_AFTERMATH.md (Issue #29 - Future enhancement) - docs/GITHUB_PROJECTS_SETUP.md (Manual setup guide)
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Deployment of CodeQL .yaml for GitHub Workflows