How to Verify an AI Bug Fix Is Real, Not Just Hidden in 2026

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As AI-generated code becomes more common, developers are warned that a bug appearing 'fixed' may simply be masked, bypassed, or shifted elsewhere in the app. Writer and developer advocate Kealan advises treating every AI bug fix as a claim requiring evidence, not a conclusion. The recommended approach involves documenting a minimal reproducible failure before asking AI for a patch, then re-running the exact original steps afterward to confirm the issue is genuinely resolved. Developers are urged to verify state changes at the data layer — not just on-screen messages — since UI feedback like 'Saved' toasts can be misleading. Edge cases such as invalid inputs and missing values should also be tested to ensure the fix handles failures clearly rather than silently swallowing errors.

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