ai-devkit

Document a code entry point in knowledge docs.

Compare implementation with design and requirements docs to ensure alignment.

Pre-push code review against design docs.

Debug an issue with structured root-cause analysis before changing code.

Execute a feature plan task by task.

Scaffold feature documentation from requirements through planning.

Store reusable guidance in the knowledge memory service.

Review feature design for completeness.

Review feature requirements for completeness.

Simplify existing code to reduce complexity.

Update planning docs to reflect implementation progress.

Add tests for a new feature.

Capture structured knowledge about a code entry point and save it to the knowledge docs. Use when users ask to document, understand, or map code for a module, file, folder, function, or API.

Guide structured debugging before code changes by clarifying expected behavior, reproducing issues, identifying likely root causes, and agreeing on a fix plan with validation steps. Use when users ask to debug bugs, investigate regressions, triage incidents, diagnose failing behavior, handle failing tests, analyze production incidents, investigate error spikes, or run root cause analysis (RCA).

Structured SDLC workflow with 8 phases — requirements, design review, planning, implementation, testing, and code review. Use when the user wants to build a feature end-to-end, or run any individual phase (new requirement, review requirements, review design, execute plan, update planning, check implementation, write tests, code review).

Use AI DevKit's memory service to store and retrieve knowledge via CLI commands instead of MCP.

Analyze and simplify existing implementations to reduce complexity, improve maintainability, and enhance scalability. Use when users ask to simplify code, reduce complexity, refactor for readability, clean up implementations, improve maintainability, reduce technical debt, or make code easier to understand.

Review and improve documentation for novice users. Use when users ask to review docs, improve documentation, audit README files, evaluate API docs, review guides, or improve technical writing.