code-to-prd

To generate a PRD from an existing codebase, the analyzer extracts routes, models, APIs, and UI interactions to scaffold a structured document with per-page docs, enums, and relationship maps. It automates feature mapping for stakeholder review and implementation.

Yes, you can extract API inventories and data models for fullstack projects. The analysis detects framework structures and data flows, mapping frontend UI interactions and backend endpoints into a complete production-ready specification.

The best way to document legacy codebase features for product managers is generating a self-contained directory with per-page docs and API inventories. This translates existing routes and models into structured specs for scoping and validation.

Yes, PRD scaffolding supports major frontend and backend frameworks. It performs global analysis to detect the project structure and framework, automatically mapping routes and data contracts across fullstack implementations.

Codebase analysis maps UI interactions and routes by detecting the project structure and extracting component relationships. It scaffolds a structured PRD containing relationship maps and enum dictionaries to guide engineers.

You need a relationship map in a generated product requirement document to visualize data flows and component connections. It provides engineers and AI agents with structured context to scope, implement, and validate complete product specifications.