Update Docs

Documentation drift is detected by comparing markdown files against recent code, configuration, and dependency changes to identify stale or missing sections and propose specific updates for maintaining accuracy.

Checking README setup instructions involves comparing documentation against recent configuration and dependency changes, such as pyproject.toml, to automatically identify discrepancies and generate actionable update suggestions for release readiness.

Documentation drift detection supports automated discovery of documentation with optional scoping by git references or dates, allowing targeted comparison of markdown files against recent code changes within specific project boundaries.

Verifying technical writing completeness involves checking for the presence of standard documentation like READMEs, architecture overviews, and ADR indexes, while detecting documentation drift against recent code and configuration changes to ensure release readiness.

Documentation drift detection operates without external dependencies, using internal scripts and references to compare markdown files against recent codebase changes and generate actionable update proposals for maintaining documentation accuracy.