prd-update-progress

Automated PRD updates work by analyzing git history and code changes to identify completed requirements, leveraging conversation context for accurate progress tracking. This process maps implementation work to PRD items and proposes updates for your confirmation.

PRD divergence detection identifies discrepancies between planned work in your Product Requirements Document and actual code implementation. It flags deviations from the original plan, ensuring your documentation accurately reflects the current development status.

You can track progress by mapping code changes and git commits directly to PRD items. This approach analyzes comprehensive structure and gap data from your repository, proposing updates to mark completed features automatically.

Yes, this automation integrates directly with your git workflow by analyzing commit history and code changes. It requires no external dependencies, using your repository's native data alongside conversation context to identify PRD items and propose updates.

Automated PRD progress tracking is ideal after a development sprint when you need to mark completed features and identify deviations from the original plan. It automates the manual process of cross-referencing code implementation with planned requirements.