gds-document-project

To generate documentation for an existing brownfield codebase, run an automated workflow that analyzes your project structure to produce structured architecture, data models, and API contracts. This creates a unified master index for AI-assisted workflows.

Documenting a multi-part repo or microservice architectures requires a tool that supports modular detection to generate a unified index. This approach produces architecture diagrams, data models, API contracts, and deployment guidance across all parts.

Yes, you can automatically extract API contracts and data models from a monolith. By analyzing the existing codebase, the workflow identifies structural elements and generates comprehensive developer-facing documentation artifacts including deployment guidance.

Yes, automated project documentation supports resumable state management for large repositories. This ensures scalable and testable documentation generation, allowing the process to pause and resume when analyzing extensive monolith or microservice architectures.

You need a master index for AI-assisted PRD workflows when turning brownfield code into actionable documentation. The index maps architecture and API contracts, providing consistent context for AI to generate accurate product requirements.