harness-bootstrap

You can generate design documentation for a legacy codebase by scanning the repository to detect manifests and analyze the structural architecture. This automatically produces the necessary context-aware AI agent instructions and design documents to overcome the cold start problem.

To bootstrap AI agent instructions for an existing project, you can run an automated repository scan that analyzes your project structure and technology stack. This generates the required AGENTS.md and CLAUDE.md files tailored to your codebase context.

Automated documentation generation requires minimal user interviews to supply context. It primarily relies on automated manifest detection and structural analysis to identify the technology stack and build the architectural snapshot without extensive manual input.

The best way to create an architectural snapshot for AI-assisted development is using automated framework detection. This approach scans the existing project structure to instantly generate standardized design documents and context-aware agent instructions.

Yes, you can use automated repository scanning for legacy projects with unknown frameworks. The scanning mechanism applies framework detection to identify the underlying technology stacks and automatically tailor the generated documentation to match.