agents-md-creation

Generate AGENTS.md documentation by creating a lightweight root file and detailed sub-folder files based on Just-In-Time indexing principles. This structure provides actionable context and navigation paths instead of full content, enabling efficient AI agent onboarding for your project.

JIT indexing improves AI agent onboarding by focusing on providing paths and commands rather than full file content. This approach maximizes token efficiency, allowing AI coding agents to interact with complex codebases without consuming excessive context window space.

Yes, you can use this approach to restructure existing AGENTS.md files or set up new guidance for a project. It generates hierarchical documentation structures that establish a root-level lightweight guide alongside detailed sub-folder files for comprehensive codebase coverage.

The best way to set up AI coding agent guidance is generating hierarchical AGENTS.md files with JIT indexing. This creates a root-level lightweight guide and detailed sub-folder documentation, providing actionable context and navigation paths for efficient codebase interaction.