Add copilot-instructions.md for AI agent onboarding#1
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Co-authored-by: 2-Coatl <121911012+2-Coatl@users.noreply.github.com>
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[WIP] Update copilot instructions for AI agent productivity
Add copilot-instructions.md for AI agent onboarding
Oct 27, 2025
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…s-md Add copilot-instructions.md for AI agent onboarding
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Reporte Intermedio #1 - Progreso del Proyecto IACT Tareas completadas: 5/26 (19%) Story Points: 19/158 (12%) Sprint 3 completado (11 SP): - TASK-013: Cron Jobs Maintenance (2 SP) - TASK-014: Custom Dashboards Admin (5 SP) - TASK-015: Actualizar Documentacion (1 SP) - TASK-016: Compliance RNF-002 Audit (3 SP) Sprint 4-6 iniciado (8 SP): - TASK-017: Layer 3 Infrastructure Logs (8 SP) Metricas: - Compliance RNF-002: 100% - DORA AI Capabilities: 71% (5/7) - Tests coverage: >=80% - Commits: 5 - Documentacion: 6 docs creados Estado: ON TRACK - Sin blockers criticos
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Implement first meta-development agent using Chain-of-Verification technique to validate SOLID compliance in code. ## Implementation - ArchitectureAnalysisAgent class with Chain-of-Verification integration - Heuristic-based SOLID violation detection (SRP, OCP, DIP) - PrincipleViolation dataclass with detailed recommendations - SOLIDAnalysisResult with confidence scores and verification tracking ## Test Coverage - 18/18 tests passing (100%) - Initialization tests (2) - SOLID analysis tests (3) - Principle detection tests (3) - Verification chain tests (2) - Violation detail tests (3) - Edge case tests (3) - Integration tests (2) ## Meta-Design Application This demonstrates using advanced prompting techniques (Chain-of-Verification) to solve real software engineering problems (architecture validation). The agent can analyze code for: - Single Responsibility Principle violations - Open/Closed Principle violations - Dependency Inversion Principle violations Falls back to heuristic analysis when LLM is not available, ensuring tests can run without external dependencies. Next: RefactoringOpportunitiesAgent (4/5 remaining)
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Create comprehensive AI agent guidance document covering architecture, patterns, and conventions for the IACT project codebase.
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.github/copilot-instructions.md(229 lines)Structure
Document designed to evolve with the project as a living guide.
Original prompt
✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.