What problem does it solve?
Deepinit eliminates the work of manually describing every folder in a repository so AI agents can immediately understand what lives where, how components relate, and which areas need special care.
Core Features & Use Cases
- Hierarchical AGENTS.md generation: Scans each directory, infers purpose, and writes structured documentation with parent tags and timestamped metadata.
- Safe updates: Compares against existing AGENTS.md files, merges auto-generated sections while preserving manual notes, and validates parent references to prevent orphaned documentation.
- Quality governance: Outlines testing requirements, dependencies, and working patterns per directory so specialized agents can pick up consistent instructions during complex workflows.
Quick Start
Start by mapping directories and generating AGENTS.md files level by level with deepinit's structured workflow.