docs-after-change

To keep documentation updated after code changes, you can validate and refresh Python docstrings, READMEs, and architecture notes by analyzing touched modules and applying non-invasive edits to align with new behavior.

Syncing README files after configuration changes involves updating sections that document entrypoints, setup, environment variables, and outputs to accurately reflect modified deployment manifests or code structure.

Yes, documentation maintenance automation works for Python projects by targeting touched runnable scripts and related modules, applying updates when changes occur in code, configuration, or deployment manifests to keep docs in sync.

You can update architecture docs without a full repository audit by analyzing only changed files and performing non-invasive edits to architecture notes when code structure or data flow changes are detected.

You should avoid automated documentation updates when a full repository audit is required, as this process specifically targets touched modules and limits non-invasive edits to changed files rather than scanning the entire codebase.