AI Can Write Your React Code. It Still Can't Tell You Why It's Wrong.

Short summary

AI models can now produce competent React boilerplate, but they cannot reliably detect subtle bugs like stale closures, wrong dependency arrays, or unstable references. The real skill shift is from writing code to verifying correctness under real conditions. The author argues that practicing against automated test suites — not reading AI output — builds the instinct to distinguish plausible code from correct code, and pitches their tool ReactGrind for this purpose.

• •AI-generated React code looks confident but frequently contains subtle timing and reference bugs that only surface at runtime
• •The value of writing boilerplate is dropping; the value of verifying correctness and reasoning about edge cases is rising
• •Practicing against real automated tests, not reading AI output, builds the instinct to catch bugs AI misses

Generated with AI, which can make mistakes.