codedocs

Generate AI-ready codebase documentation by producing a structured, layered docs tree covering architecture, modules, and operational workflows. This creates a consistent directory structure with an overview, index, and module breakdowns so agents can understand the repository without reading source code.

Yes, you can update repository documentation incrementally after code changes using scoped or git-diff-driven updates. A manifest file tracks module states and verifies coverage, refreshing only the modified parts instead of regenerating the entire docs tree.

Docs-first Q&A answers codebase questions by routing queries to the most relevant documentation files first. It falls back to source code only when the existing documentation is insufficient, reducing the need to repeatedly read raw files.

Yes, codedocs requires no external dependencies to generate repository documentation. It operates directly on your git repository to produce deterministic output with a fixed directory structure, a manifest file, and coverage verification.

Maintain documentation coverage by using a manifest-driven approach that verifies completeness before planning and tracks staleness. The system flags modules that became stale after code changes, allowing targeted incremental updates to keep docs synchronized.