问HN：你对人工智能代码有情感依赖吗？
我对人工智能时代的一个期待是，代码审查中情感依附的减少。<p>我的假设是，AI生成的代码会使审查变得更容易，因为对代码的批评不会被视为对作者的批评。<p>然而，我却多次看到人们强烈捍卫AI生成的代码，有时甚至为那些明显错误的AI解释辩护。<p>还有其他人也有这样的观察吗？<p>如果有，你认为是什么原因导致的？你们在团队中是如何处理这种情况的？<p>另外，有人找到有效的方法来减少“引导性问题”提示的影响吗？<p>我非常希望在我们的团队中保持“人参与”的工作模式，但同时我也在想，如果我们转向“循环/工厂/氛围”的模式，生活会不会变得轻松很多。
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One thing I expected from the AI era was a decrease in emotional attachment to code reviews.<p>My assumption was that AI-generated code would make reviews easier because criticism of the code wouldn't feel like criticism of the author.<p>Instead, I've repeatedly seen people strongly defend AI generated code, and sometimes even defend AI explanations that are demonstrably incorrect.<p>Is anyone else seeing this?<p>If so, what do you think is driving it? How are you handling it within your team?<p>Also, has anyone found effective ways to reduce the influence of "leading question" prompts?<p>I very much want to keep human in the loop style paradigm within our teams, but at the same time I do wonder if my life would get a whole lot easier if instead we jumped on the "loop/factory/vibe" train.