large-module-removal-refactor

To safely remove a large Python module, you need to define the removal boundary, delete the code, and immediately chase fallout by updating routing, wiring, references, and tests. This ensures no dangling imports or broken entry points remain.

Updating tests and documentation during a Python codebase refactor should be done in the same sweep as the code deletion. This approach converges code, docs, and tests simultaneously, preventing stale documentation and dead paths.

Reconciling code and tests during a large module removal requires updating routing, wiring, and test suites immediately after deletion. You then validate the refactor using quality gates like unit tests, type checks, and linting.

Yes, you can preserve behavior when deleting a large package by defining a strict removal boundary and updating all references and entry points. Validating with quality gates like unit tests and type checks ensures existing behavior remains intact.

After removing a large Python module, you should run quality gates including unit tests, type checks, and linting. These validation steps confirm that all reference updates, routing changes, and test modifications are passing correctly.

Deleting a Python package leaves broken entry points when routing and wiring are not updated. You fix them by identifying the removal boundary, deleting the code, and immediately chasing the fallout to update all imports and references.