AI-Generated Code Ships Fast But Silently Breaks Business Data Correctness
AI coding assistants accelerate feature delivery but introduce semantic errors in business logic that unit tests and type checks miss. No mainstream tooling validates whether AI-generated code produces correct business outcomes, creating a growing data integrity blind spot.
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