documents-update-docs

To keep project documentation in sync with code changes, you can scan the repository for stale references in READMEs and technical specs, then generate proposed updates for review based on recent behavioral logic modifications.

Documentation drift occurs when manuals and ADRs become outdated as code evolves. You identify stale references by performing automated impact analysis across the project directory to find mismatches between documented requirements and implementation behavior.

You can update traceability mappings by scanning the project state files and documentation corpus to synchronize the internal requirements-to-tests-to-code mapping, ensuring architectural integrity is maintained after codebase modifications.

The best way to find outdated technical specifications is to analyze changed function signatures and behavioral logic, then cross-reference those modifications against the existing documentation corpus to pinpoint exactly which sections require updates.

No, accurate documentation synchronization requires access to the project's state files and documentation corpus to perform precise impact analysis and generate correct traceability updates for stale references.

You should avoid relying solely on automated documentation updates when a project lacks a structured documentation corpus or state files, as accurate impact analysis and traceability maintenance depend on existing architectural records.