When the LLM returns changes to multiple independent files, apply them in parallel using concurrent.futures.ThreadPoolExecutor. This can significantly speed up large refactoring tasks. File modifications, backup creation, and validation can all be parallelized since they operate on different files.
When the LLM returns changes to multiple independent files, apply them in parallel using concurrent.futures.ThreadPoolExecutor. This can significantly speed up large refactoring tasks. File modifications, backup creation, and validation can all be parallelized since they operate on different files.