documenter

Documentation drift occurs when claims in CLAUDE.md and STATUS.md no longer match the codebase. You can detect it by scanning recent commits to flag inconsistencies and generate actionable update recommendations.

You can keep documentation in sync by running audit-ready checks that scan recent commits and flag any drift between the codebase and documentation files, generating actionable update recommendations.

Yes, documentation auditing checks are designed for automated pipelines. They run on code changes and documentation updates to flag inconsistencies between the codebase and documentation files.

Automating quality assurance for project documentation involves detecting drift between code and docs. By comparing documentation files and inline comments against the actual codebase, you can flag inconsistencies and suggest updates automatically.

Documentation drift detection specifically requires CLAUDE.md and STATUS.md files, along with inline comments. It compares these documentation sources against the actual codebase to identify inconsistencies.

You should avoid automated documentation drift detection if your project lacks automated builds, version control, or ongoing documentation updates, as the process is designed for projects with these infrastructure elements.