AI Made Coding Cheaper. So Why Is Building Software Still So Expensive?

说明与用途

AI 加速代码编写，但由于更高的审查、集成和维护成本，导致交付时间增加。

问题

AI-generated code is fast to produce but leads to costly review, integration, and maintenance work, keeping overall software delivery time high.

结果

The AI-generated code reduced writing time but increased overall delivery time due to higher review effort, integration problems, and maintenance costs.

工作流

• 1. Prompt AI tool to generate feature code.
• 2. Submit AI-generated code as a pull request.
• 3. Team members review the code, uncover subtle edge cases and legacy incompatibilities.
• 4. Debug, rollback, and rewrite portions of the code to fit production environment.
• 5. Deploy the corrected code and monitor for issues.

证据

I fired up Cursor (or your AI tool of choice), typed a detailed prompt, and watched the code materialize on my screen.

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It took my teammate two days to review it. Not because the code was wrong, but because the AI had introduced a subtle edge case in the caching logic that neither of us initially understood.

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We spent the next week debugging, rolling back, and rewriting the "perfect" AI-generated code to fit our actual, messy production environment.

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Writing the code was never the expensive part. It was always the cheapest part.

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