Engineers tend to define correctness as elegant, human-readable code. The rest of the world defines it as software that is secure, performant, maintainable, and works. Automated quality gates, not restraint around AI, are what keep engineering output trustworthy in an AI-native workflow.
Engineers Are Optimizing for the Wrong Kind of Correct
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September 23, 2026
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nextworld