请问HN：你们是如何处理开源项目中的PR密度（和松散度）的？
考虑到像Claude Code或Codex这样的编码代理现在已经相当出色，提交给开源项目的拉取请求（PR）自然大幅增加。然而，并不是所有的PR都很优秀，有些确实是质量不高的AI生成内容。
例如，您可以查看Daniel Stenberg关于cURL相关主题的讨论：
https://daniel.haxx.se/blog/2026/01/26/the-end-of-the-curl-bug-bounty/ 和 https://daniel.haxx.se/blog/2025/07/14/death-by-a-thousand-slops/
我很好奇，这对其他开源项目来说是多大的问题。
提交者们，你们遇到的这种困扰有多严重？你们是否使用任何AI工具来缓解或解决这个问题？
查看原文
Given that coding agents like Claude Code or Codex are now quite good, there's of course a massive increase in PRs submitted to open source projects. Not all of them are great, some are true AI slop.<p>See for example Daniel Stenberg on the topic as it relates to cURL:
https://daniel.haxx.se/blog/2026/01/26/the-end-of-the-curl-bug-bounty/ and https://daniel.haxx.se/blog/2025/07/14/death-by-a-thousand-slops/<p>I'm curious how much of a problem this is to other open source projects<p>Committers, how much of this pain are you seeing, and are you using any AI tools to mitigate or address this issue?