请问HN：你发现哪些有用的氛围编码模式？
在使用大型语言模型（LLMs）进行整个项目编码时，您是否发现了任何能够提高LLM输出质量的编码技巧？
我使用Claude模型编码了十几个微型项目，实际上让我惊讶的是，您可以在更短的时间内测试您的想法。虽然仍然很实用，但质量似乎在大约1万行代码（KLOC）后开始下降（如果整个项目是一个单文件的JavaScript应用，下降得更早）。这时我需要开始稍微关注一下。
这让我思考，是否应该像在任何与团队合作的代码库中那样编码，还是有一些方法可以帮助LLMs扩展，同时保持代码库的可理解性？
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When coding entire projects with LLMs, have you found any coding techniques that improved the quality of LLM output?<p>I've coded a dozen of micro projects using Claude models, actually mind-blown how fast you can test your ideas, in much less time. While remaining very usable, the quality seems to fall off after ~10 KLOC (much earlier if the entire project is a single file JS app). Then I need to somewhat start paying attention.<p>So it got me thinking, should I code the same way as on any codebase where I'd be working with a team, or is there something that helps LLMs scale, while the codebase remains grokkable?