Agent PRs are unreviewable — what first-pass actually helps vs just adding noise?
热度趋势
百分比基于当前可用热度信号，而非评论数或独立用户人数。
开发者们正面临由Cursor、Claude和Codex等AI代理生成的、难以审查的拉取请求（PRs），这些PRs通常涉及20-40个文件的更改。尽管CodeRabbit和Copilot等AI审查工具能够发现真正的错误，但它们也产生了大量噪音，例如重命名或提取代码的建议，导致人工审查者忽略这些反馈。开发社区正在寻求有效的AI初审方法，这些方法应能真正提供帮助，而非用不相关的反馈淹没高级开发人员。
Been shipping with Cursor / Claude / Codex. The diffs are 20–40 files, tests are green, and a human line-by-line review is a joke.
I have tried a couple of AI review passes (CodeRabbit, Claude as a second model, Copilot review). Some of it catches real bugs. A lot of it is rename-this / consider-extracting nits that people start ignoring.
What is actually working as a first pass for you before a human looks at it? What did you turn off because it was noise?
Not selling anything — I want the setup that doesn't make seniors mute the bot.