请问HN：如何将单一代码库（mono-repo）准备为AI就绪？
组织正在推动AI准备工作！我们运行着一个相当大的单一代码库，其中一部分是共享的网络平台。
我们的团队在处理来自其他团队对该网络平台的贡献时遇到了困难，因为他们将其视为尝试新AI工具的理想代码。
到目前为止，我们的想法是，在这种情况下，AI准备与人类准备是一样的。也就是说，要使代码库易于理解、结构清晰，清理任何仍然存在的旧模式等。同时，还要添加ClAUDE.md文件，描述正确的模式。
然而，除了“常规”的审视和清理之外，是否还有其他工具或更智能的方法，使我们的代码库更容易让其他人贡献，考虑到现有的新工具？
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The org is pushing for AI-readiness! We run a fairly large monorepo, part of that is a shared web-platform.<p>Our team is struggling with the inbound contributions to said web-platform from other teams seeing it as the perfect code to try out their new AI-tools on.<p>Our idea so far is that AI-Ready in this case is the same as Human-Ready. I.e. make the codebase understandable, structured, clean up any old patterns still lying around etc. With the additional of adding ClAUDE.md files describing correct patterns.<p>However, besides the "regular", look at shit and clean it, is there any tools, or smarter ways to make our codebase easier for other to contribute to given the new tools avaialable?