deepinit

You generate hierarchical AGENTS.md documentation by running an automated initialization process that scaffolds files across nested directories, linking each to its parent to document codebase structure for AI agents.

An AGENTS.md file documents a directory's purpose, key files, and usage guidelines to improve AI-driven understanding. It is needed when working with large codebases where AI agents require navigable context to understand nested structures.

Manual notes in AGENTS.md files are preserved during automated updates. The workflow protects manual sections from being overwritten while applying incremental updates to templates, parent linkage, and timestamps.

deepinit works for large codebases with deeply nested directories by ensuring each directory includes an AGENTS.md file that references its parent, enabling comprehensive hierarchical documentation and navigable AI context.

The best way to maintain codebase documentation for AI agents is an automated update and validation workflow that generates hierarchical AGENTS.md files, applies timestamps, and preserves manual sections during incremental updates.

AI agents struggle to understand nested directory relationships when hierarchical documentation is missing. Generating parent-linked AGENTS.md files across the codebase provides the necessary structural context and usage guidelines for AI navigation.