deepinit

To generate hierarchical AGENTS.md documentation, you run an automated process that creates navigable templates with clear sections on purpose, key files, subdirectories, and dependencies across nested directories. This enforces a consistent parent reference structure for AI agents.

AGENTS.md hierarchy is a structured documentation format that tracks relationships between nested directories using parent references and timestamps. You need it for large projects requiring navigable, AI-friendly documentation to accelerate codebase familiarization and enable AI-assisted maintenance.

Yes, you can preserve manual annotations during automated regeneration of AGENTS.md templates. The generation process maintains existing manual content while updating the structural hierarchy, parent references, and timestamps across the codebase.

The best way to maintain AI-friendly documentation across multi-repo projects is to enforce a navigable AGENTS.md hierarchy with embedded parent references and timestamps. This enables automated regeneration while preserving manual annotations for consistent codebase navigation.

Yes, automated AGENTS.md generation works for onboarding teams by creating comprehensive templates that document directory purpose, key files, subdirectories, and dependencies. This accelerates codebase familiarization across large, nested project structures.