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Add copilot-instructions.md for AI agent onboarding#1

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2-Coatl merged 2 commits intomainfrom
copilot/update-copilot-instructions-md
Oct 27, 2025
Merged

Add copilot-instructions.md for AI agent onboarding#1
2-Coatl merged 2 commits intomainfrom
copilot/update-copilot-instructions-md

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Copilot AI commented Oct 27, 2025

Create comprehensive AI agent guidance document covering architecture, patterns, and conventions for the IACT project codebase.

Changes

  • Created .github/copilot-instructions.md (229 lines)
    • Architecture overview: Current minimal state + architectural vision (modularity, extensibility, automation-first, documentation-driven)
    • Project structure: Current layout and expected future directories (src, tests, docs, scripts, config, examples)
    • Development patterns: Code organization, naming conventions, git workflow, testing philosophy
    • AI-specific guidance: Codebase exploration, minimal changes approach, problem-solving methodology, common pitfalls, security considerations
    • Operational details: Quick reference commands, resource links, maintenance guidelines

Structure

.github/
└── copilot-instructions.md
    ├── Repository Overview
    ├── Big Picture Architecture (current + vision)
    ├── Project Structure (current + future)
    ├── Development Guidelines
    ├── Key Patterns and Conventions
    ├── AI Agent Best Practices
    ├── Technology Stack
    ├── Communication and Collaboration
    └── Quick Reference

Document designed to evolve with the project as a living guide.

Original prompt

Analyze this codebase to generate or update .github/copilot-instructions.md for guiding AI coding agents.Focus on discovering the essential knowledge that would help an AI agents be immediately productive in this codebase. Consider aspects like:

  • The "big picture" architecture that requires reading multiple files to understand - major components, service boundaries, data flows, and the "why" behind structural decisions

✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.

Co-authored-by: 2-Coatl <121911012+2-Coatl@users.noreply.github.com>
Copilot AI changed the title [WIP] Update copilot instructions for AI agent productivity Add copilot-instructions.md for AI agent onboarding Oct 27, 2025
Copilot AI requested a review from 2-Coatl October 27, 2025 16:27
@2-Coatl 2-Coatl marked this pull request as ready for review October 27, 2025 16:30
@2-Coatl 2-Coatl merged commit 2e9e43a into main Oct 27, 2025
@2-Coatl 2-Coatl deleted the copilot/update-copilot-instructions-md branch October 28, 2025 05:03
NestorMonroy pushed a commit that referenced this pull request Nov 2, 2025
…s-md

Add copilot-instructions.md for AI agent onboarding
NestorMonroy pushed a commit that referenced this pull request Nov 7, 2025
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
NestorMonroy pushed a commit that referenced this pull request Nov 11, 2025
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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2 participants