AI code is cheap; undoing its confidently repeated mistakes is not
sujingshen · x · 2026-10-03
Drawing on experience integrating AI into engineering teams, the author argues the real cost of AI coding isn't generation but undoing confidently repeated mistakes. The key is setting checkpoints: deciding which outputs need human review and which automated tests can catch — otherwise "task complete" often just means the model thinks it's done. A follow-up covers dividing work among multiple AIs, code review, and testing.
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