aiagent

Full Agent Development Life Cycle pipeline for the aiagent project. Runs story refinement → design → implementation planning (with human approval checkpoint) → implementation → testing → security → database → devops. Each coding phase uses a doer + antagonistic reviewer loop requiring score >= 8/10.

Create a detailed user story for the aiagent project with acceptance criteria and technical breakdown. Uses the story-refiner agent to explore the codebase and produce a structured story artifact.

Database schema + review loop for the aiagent project. The dba agent designs schema changes ensuring JSON/MongoDB storage duality, then the dba-reviewer scores the changes against the 6 pillars. Loops until score >= 8/10 or 3 iterations maximum.

Deployment readiness check for the aiagent project. Verifies the release pipeline, Docker build, and all 7 binary targets are ready before tagging a release. Uses the devops agent.

Architecture design + review loop for the aiagent project. The architect designs a solution following DDD patterns, then the architect-reviewer scores it against the 6 pillars. Loops until score >= 8/10 or 3 iterations maximum.

DevOps pipeline + review loop for the aiagent project. The devops agent manages CI/CD and Docker changes, then the devops-reviewer scores against the 6 pillars. Loops until score >= 8/10 or 3 iterations maximum.

Code implementation + review loop for the aiagent project. The developer implements changes following the approved plan, then the developer-reviewer scores the code against the 6 pillars including a mandatory duplication check. Loops until score >= 8/10 or 3 iterations maximum.

Break a feature or epic into ordered, implementable user stories for the aiagent project. Uses the planner agent to analyze the feature and produce a sprint plan with story dependencies.

Interactive story clarification for the aiagent project. The story-refiner agent explores the codebase, asks focused question batches, and iterates until all unknowns are resolved. Outputs a refined story with acceptance criteria and a Relevant Codebase Context section.

Quick one-shot code review for the aiagent project. The developer-reviewer checks DDD layer boundaries, Go idioms, error handling, storage duality, and test coverage. No iteration loop — immediate feedback.

Security review loop for the aiagent project. The security agent analyzes code for vulnerabilities (command injection, path traversal, API key leakage, MongoDB injection), then the security-reviewer scores the posture against the 6 pillars. Loops until score >= 8/10 or 3 iterations maximum.

One-shot security scan for the aiagent project. Checks for command injection in tool execution, path traversal in file tools, API key leakage, and MongoDB injection patterns. No iteration loop — immediate findings report.

Test writing + review loop for the aiagent project. The tester writes unit and integration tests using testify, then the tester-reviewer scores coverage and quality against the 6 pillars. Loops until score >= 8/10 or 3 iterations maximum.

Write tests for the aiagent project without a review loop. The tester agent writes unit and integration tests using testify following the project's mock-at-domain-boundary pattern.