请问HN：你是如何将所有编码工作交给人工智能的？
大家好，希望大家都很好！<p>我看到很多评论和帖子，人们表示他们“根本”不再写代码了，我对此感到好奇，想知道大家在说这句话时是什么意思。<p>我之所以这样说，是因为我每天都在使用Claude代码，且使用的是高级计划，所以我并不是在批评大型语言模型（LLMs）或使用它们的人。我只是觉得很难理解将_所有_编码工作都外包出去，尤其是在已有项目上，如何能提高生产力。<p>我这样说的原因是，我经常需要调试和处理问题。通常我的处理和诊断会让我发现，问题其实是可以用几行代码简单修复的。<p>当然，Claude可以解决这个问题，但从提示、等待它输出计划、评估该计划、等待它完成实施，再到评估工作所花的时间，显然会比我自己快速修改并提交PR要长得多。<p>当然，也可以将处理和诊断的工作完全交给Claude，但我个人觉得这样效率不高，因为这很可能导致大型语言模型出现问题，修改与代码库无关的部分。
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Hey all, hope everyone is well!<p>I’ve seen a lot of comments and posts where people have stated they ‘literally’ never write a line of code anymore and was curious as to what people mean when they state this.<p>I say this as a daily user of Claude code with a max plan, so I’m not bashing LLMs or people who use them. I just find it quite hard to understand how it can be productive to offload _all_ coding, especially on brownfield projects.<p>My reason for saying this is that I often have to debug and triage issues. Often my triage and diagnosis leads me to a point where I can see that the issue is a simple fix with a couple lines of code.<p>Of course, Claude could fix the issue but the time taken to prompt, wait for it to spit out a plan, evaluate said plan, wait for it to finish implementing said plan, and then evaluate the work would be considerably longer than just making the change quickly and making a PR myself.<p>Obviously is also possible to just offload the triage and diagnosis to Claude as well but I personally find it unproductive as it essentially ends up with a higher chance of the LLM going rogue and changing unrelated areas of the codebase.