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AI Code Generation Speeds Development, But Reliability Requires Process Changes

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A software developer reports that an AI agent quickly generated code and passed local integration tests based on a given specification. However, the implementation contained a subtle, believable error regarding a downstream API contract, which both the AI and the human reviewer initially missed. The author argues that while AI accelerates code creation, ensuring correct delivery still demands rigorous human oversight and updated development processes. The experience highlights that faster implementation without proper validation can simply propagate misunderstandings more quickly. The developer advocates for a spec-driven approach where humans meticulously review specifications and test scenarios before AI-assisted implementation.

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