请问HN：有没有展示AI辅助开发的GitHub仓库？
团队是如何利用增强型人工智能流程来开发、维护和扩展复杂代码库的？<p>我了解到的最好信息是，GitHub 仓库中包含一个关于代码应执行什么的“策划知识库”。<p>但我不太清楚如何将这些提示与代码库保持同步。<p>它们是否像 yacc 源文件一样，每次我们对仓库进行干净构建时，生成的代码都会被清除，人工智能再根据新的特性重新生成代码？<p>还是说我们定期让人工智能同时读取提示和代码，并从一个到另一个提出修改建议？<p>在这方面有哪些最佳实践？是否有 GitHub 仓库展示了世界级的实现方式？
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How are teams using AI-enhanced flows for developing/maintaining/extending a non-trivial code base?<p>Best I can get is that the GitHub repo contains a "curated knowledge base" on what the code should do.<p>But it is unclear to me exactly how to keep these prompts in sync with the code base.<p>Are they like yacc source files, and every time we do a clean build of the repo, the generated code is blown away and AI uses them to re-generate the code again, this time according to, say, a few new features added?<p>Or do we periodically have AI read both the prompts and the code, and suggests edits from one to the other?<p>What are the best practices here? Are there GitHub repos which illustrate how its done in a world-class way?