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Adds engineering discipline to AI code for production-ready software.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Architect-to-Product (A2P)" yet — see the docs or source repo.
Use the A2P process for this feature: first provide verifiable TDD test cases, then implement the code, add security checks, backup strategy, and deployment steps so it is production-ready.
A test-first plan, implementation code, security and backup notes, and deployment generation.
Review this AI-generated code, identify test gaps, security risks, missing backup measures, and deployment hazards, and suggest fixes.
A risk list, prioritization advice, and actionable fixes.
Turn this prototype into a pre-release checklist: include test coverage, dependency security, backup plan, deployment generation, and rollback guidance.
A release readiness checklist and recommendations to close gaps.
Provides queryable team coding standards and best practices for AI-assisted development.
Aggregate coding plan services for code review, plan review, and AI coding dialogue.
Provide AI agents with coding standards, testing, planning, and requirements guidance.
Turn development tickets into production-ready code through an automated delivery pipeline.
Aggregate coding plan services for code review, plan review, and AI coding dialogue.
Safely inspect, plan, validate, and edit engineering documents with AI.