refactor-simplify

To refactor Python modules without breaking behavior, split long methods into private helpers while strictly preserving every log message, state transition, and exception path. This keeps orchestrator methods thin and maintains existing dry-run safeguards.

Simplifying long Python methods involves extracting routines over 80 lines into focused private helpers and consolidating repeated boilerplate. The process mandates reading project guidance first and verifying changes through existing tests to ensure behavior remains unchanged.

Yes, you can use review-only mode to generate ranked, risk-tagged reports of simplification opportunities in your Python files. Apply-mode executes transforms one at a time with syntax and behavioral checks, ensuring safe code simplification.

Extract methods by splitting complex routines into clear private helpers while obeying logging and RBAC state-tracking rules. The process forbids new dependencies or signature changes, ensuring dry-run safeguards and error handling paths remain fully intact.

Limitations include forbidding new dependencies, signature changes, or alterations to logging and state tracking. You must verify all simplifications via existing tests, and the approach specifically targets Python modules with long methods and duplicated boilerplate.