I tested 5 AI tools for refactoring CSS: Here’s what I learned

A benchmark of five free-tier AI coding assistants—ChatGPT, Claude, Copilot, Cursor, and Gemini—tested their ability to refactor a product-card stylesheet containing seven deliberate CSS pitfalls involving cascade precedence, stacking contexts, nearly identical values, runtime state overrides, partial cleanup, selector scoping, and vendor-prefixed line clamping. All tools removed clearly redundant declarations and retained the essential WebKit truncation syntax, but every tool mishandled the hover shadow because it failed to preserve the earlier `!important` declaration that actually won in the cascade. Common risks included flattening component-scoped selectors into generic global ones, making assumptions about subtly different badge colors, dropping button-hover opacity, weakening stacking isolation, and introducing unrequested styling changes such as transitions or card centering. Cursor ranked first with 14 points, followed by Copilot at 12, while ChatGPT and Claude tied at 9.5 and Gemini scored 7.5; however, the evaluation emphasizes that even the highest-ranked tool introduced regressions in a small single-file component. The results suggest AI can speed up routine CSS cleanup and occasionally improve maintainability with custom properties, but developers should still review output carefully, test visual and state-dependent behavior, and verify that cascade and selector-scope semantics remain intact.

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