deepinit

To automate hierarchical AGENTS.md documentation across a large monorepo, you run a scaffolding process that generates directory-level files with proper parent linkage. This enforces a template-driven structure to improve AI agent navigation and collaboration.

Hierarchical AGENTS.md scaffolding is the automated creation of AI-facing documentation files across a codebase to reveal directory purposes and relationships. You need it for multi-team projects where clear AI agent navigation and standardized onboarding are essential.

Yes, you can regenerate automated AGENTS.md files without overwriting manual notes. The update-preserving workflow keeps your manual notes intact while regenerating only the auto-generated sections during directory coverage updates.

Yes, this AGENTS.md generation approach works for multi-team codebases by standardizing directory documentation across folders. It applies template-driven generation with parent references to ensure seamless navigation and consistent onboarding.

To validate parent references and directory coverage when updating AGENTS.md, the tool automatically checks linkage integrity during the regeneration workflow. This ensures all parent references remain correct and every directory is properly documented.