sl:simplify

To clean up post-edit code complexity and dead code, run a simplify command on changed file paths. It reviews recently modified files to reduce complexity, remove dead code, and fix DRY violations while preserving functionality using hashline-based edits.

The best way to fix DRY violations in changed source code is using a post-edit cleanup tool that identifies duplicated logic in touched files. It reads modified files to detect duplication and applies hashline-based edits to resolve violations.

Yes, post-edit code cleanup works across different programming languages by focusing on touched files in version control. It handles nested structures, dead code, and DRY violations regardless of language to improve readability.

To ensure cleanup changes are limited to touched files, use a post-edit cleanup tool that reads changed files via version control. It applies fixes with hashline-based edits, guaranteeing modifications remain strictly within recently edited file paths.

A post-edit refactor workflow efficiently reduces complexity and removes dead code automatically, whereas manual review is slower and prone to missing nested DRY violations. It validates results after applying hashline edits to ensure maintainability.

Automated post-edit code cleanup handles nested structures by reducing complexity and removing dead code, but may require validation to ensure functionality is preserved. It focuses strictly on touched files, preventing unintended changes to untouched code.