deslop

To clean up AI-generated code slop before a code review, run a branch cleanup against the main baseline to remove unnecessary comments, inconsistent styles, and superfluous defensive checks, producing a concise changelog summarizing the changes.

AI-generated code slop consists of unnecessary comments, redundant defensive checks, and style inconsistencies that diverge from your project baseline, cluttering your diff and reducing code readability before review.

Remove redundant comments and inconsistent styles by applying a post-implementation cleanup process to your current branch, aligning the code with the main baseline and ensuring a clean diff.

Yes, you can get a summary of code style changes during AI code cleanup by running a deslop process, which produces a concise changelog describing all removed comments and modified patterns for review.

The best way to ensure style consistency in AI-assisted development is to apply a post-implementation cleanup that removes AI-generated slop, aligns the code with project baselines, and eliminates stray patterns before review.

No specific linting dependencies are required to remove AI-generated patterns, as the cleanup process operates independently to identify and strip unnecessary comments, casts, and defensive checks from your branch.