deepinit

To generate hierarchical AGENTS.md documentation, map the repository structure and apply a consistent template to each directory with correct parent references. This outputs updated files with timestamps, a dependency manifest, and a validation checklist.

An AGENTS.md file acts as AI-readable documentation for codebases, providing structured guidance to AI agents on working within each directory. It includes testing requirements, dependencies, and parent references for navigation.

Yes, you can regenerate only auto-generated sections while preserving manual notes. The process updates timestamps and auto-generated content but leaves manually added notes intact to maintain your custom documentation.

Yes, this approach is designed for large monorepos to rapidly scaffold and synchronize documentation across all folders. It ensures consistent AI agent guidance and traceability through accurate parent references and a validation checklist.

To ensure hierarchy integrity, the output includes a validation checklist and correct parent reference tags. This verifies that the parent-child relationships between directories remain accurate after regeneration.

The best way to automate AI agent guidance is to map directories requiring documentation and apply a consistent markdown template. This produces structured files guiding agents with testing requirements and dependencies across the hierarchy.