plan-validation

To validate code implementation against a project plan, run automated checks that compare actual code changes against specifications and generate a detailed report. This process identifies deviations and documents completion status for required manual testing.

Plan execution deviation reporting is the process of identifying and documenting differences between the original plan specifications and the actual implementation. It generates structured findings in JSON format and offers script-based rendering for clear documentation.

Yes, you can automate code review checks for implementation plans by running automated tests, type checking, and linting. This ensures code quality and confirms that all planned steps were completed without introducing unintended changes.

Plan validation requires PDF dependencies including pypdf, pdfplumber, and pdf2image. These libraries support the extraction and processing of plan specifications needed to compare implemented code against the original project requirements.

You can report plan execution status in JSON format by running automated checks that validate implemented changes against a defined plan. The validation generates structured findings that document completion status, deviations, and required manual testing steps.

You should use automated plan validation after a developer implements a new feature outlined in a project plan. It automatically confirms that all planned steps were completed, tests pass, and no unintended changes were introduced before proceeding to the next phase.