document-hub-analyze

Documentation drift detection compares source code against Markdown files to surface undocumented modules and glossary gaps. Running scripts like detect_drift.py and extract_glossary.py generates reports showing where code and documentation no longer align.

Documentation drift detection identifies discrepancies between a codebase and its Markdown documentation to surface undocumented modules and glossary gaps. You need it for periodic documentation audits, pre-update health checks, and governance planning.

Run glossary gap extraction and structure validation scripts against your project path to audit Markdown documentation. This surfaces undocumented modules and missing glossary terms, producing reports that inform actionable documentation improvements.

Documentation drift detection requires Python 3 and a project using a modular hub architecture with Markdown documentation. You run the validation, drift, and glossary extraction scripts against your project path to generate analysis results.

Yes, you can validate modular hub architecture structure before updating documentation by running validate_hub.py against your project path. This produces a structural validation report to guide pre-update planning and governance reporting.

The best way to automate documentation audits for governance reporting is running Python scripts for drift detection, glossary extraction, and structure validation. This generates reports on undocumented code and glossary gaps without making changes.