hai-audit-docs-against-code

Documentation drift is detected by systematically comparing written claims in README files and API guides against actual code, schemas, and API contracts to identify stale or inconsistent technical statements.

Auditing API documentation after a refactor requires evidence-backed comparison against current API contracts, generating a severity-ranked mismatch report with implementation references, impact analysis, and minimal remediation fixes.

Yes, configuration guides and examples can be checked against implementation sources by cross-referencing written claims with actual code, schemas, configurations, and tests to classify severity and provide remediation guidance.

Severity classification for stale documentation works by evaluating the impact of inconsistencies between docs and code, producing severity-ranked findings that include document locations, implementation references, and targeted minimal fixes.

A technical documentation audit is needed when software projects undergo refactors or changes, ensuring that README files, API documentation, and setup instructions still accurately match the current implementation evidence.

Yes, documentation drift detection works without external dependencies by performing evidence-backed comparisons across code, schemas, contracts, configurations, and tests to identify required documentation updates.