AI Writes React Code Fluently But Misses Runtime Bugs, Developer Warns

A React developer argues that while AI tools can reliably generate boilerplate code such as hooks and controlled forms, they consistently fail to identify subtle runtime errors like stale closures, wrong dependency arrays, and unstable references. These bugs rarely appear as syntax errors and only surface when code runs under real-world conditions such as rapid user interactions or mid-effect component unmounts. The author contends that AI explanations carry the same confident tone whether correct or not, making it difficult for developers to distinguish plausible-looking code from genuinely correct code. As boilerplate writing becomes less valuable, the ability to reason about edge cases and verify actual runtime behavior is becoming a more critical skill. To address this gap, the author built ReactGrind, a platform offering React-specific challenges evaluated by automated test suites that simulate real user interactions rather than checking code appearance alone.