deepinit

To generate hierarchical AGENTS.md files for AI codebase navigation, use a tool that maps the full directory tree and processes parent levels before children. This creates structured, AI-readable documentation with standardized Parent references for each directory.

AGENTS.md is an AI-readable documentation file that explains how a specific directory is organized and relates to the rest of the codebase. It provides agent-oriented guidance by documenting working rules, testing expectations, and common patterns for safe code modifications.

When updating existing AGENTS.md files, the generation process preserves manual sections while validating that parent references resolve. This ensures custom documentation remains intact while the hierarchical structure and directory mappings are refreshed.

Yes, directory mapping for repository initialization can skip common noise directories while generating a structured plan. This ensures the hierarchical AGENTS.md documentation only covers relevant directories, mapping the full tree efficiently without unnecessary noise.

Generating hierarchical metadata for agents requires deterministic directory mapping to ensure consistent and accurate parent-child references. This deterministic approach validates that parent references resolve correctly across all nested directories.