AI coding · Code quality
Refactoring
Also called: Refactor, Code cleanup, Restructuring code
Changing how code is structured and written without changing what it does or how it looks, so it's clearer and easier to maintain and build on.
In detail
Refactoring is like organizing your closet. The clothes are the same, just sorted and put away, so you find things faster later. Common refactors: splitting a component with hundreds of lines into smaller ones, pulling repeated code into a shared function, giving variables clearer names, and making API calls follow one consistent pattern.
The key is "don't change what it does." If you add new features while refactoring and something breaks, you can't tell which step caused it. So refactoring and adding features are best done separately, with each step checkable on its own.
After a project built with AI grows for a while, you often see the same feature written several ways, files getting bigger and bigger, and fixing one thing breaking another. Those are signs it's time to refactor. Commit with Git before refactoring, and check the main pages and features one by one afterward.
Developer infoTerm ID, DOM cues, match priority
- Term ID
ai-refactor- DOM selectors
- No DOM cues. This concept isn't detected directly on a page.
- Priority
- 1 · when several match at the same level, the higher priority wins
- Version
- v1 · updated Sep 29, 2026