请问HN：在人工智能的系统设计中，哪些方面仍然很困难？
我们内部使用Claude代码，它在提供模板和现有架构时，能够有效地生成初步的系统设计。它通常能够快速捕捉到明显的组件和权衡因素。
尽管如此，系统设计的进展似乎仍然比预期的要慢。人们花费数天时间进行对齐、收集背景信息，并在设计上反复迭代，这些设计感觉本可以更早地接近可行的草稿。
对于那些在设计系统时已经使用AI工具的人：
系统设计中哪些部分仍然困难或缓慢？
AI生成的设计通常在哪些方面出现问题？
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We use Claude code internally and it does a good job generating first-pass system designs when given templates and existing architecture. It often captures the obvious components and tradeoffs quickly.<p>Even so, system design still seems slower than expected. People spend days aligning, gathering context, and iterating on designs that feel like they could have started much closer to a workable draft.<p>For those who already use AI tools while designing systems:<p>What parts of system design remain difficult or slow?
Where do AI-generated designs tend to break down?