AI编码
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Show HN:Critic——让写代码的 agent 来评审代码
Feyn 团队发布 Critic,一个变更评审平台:通过 Codex 或 Claude Code 插件,让写码 agent 在提交代码时附带变更叙述、关键代码块标注和本地运行说明,评审者可在 critic.run 或通过 MCP 直接与原作者 agent 对话。Critic 会 fork 原会话并剥离写工具,仅允许回答关于该变更的问题。作者称已借此在进入生产前发现若干问题,最常见的是模型未复用已有样式、组件或函数。Critic 免费使用。
AI推荐理由 Show HN 首发,作者自述 Critic 的机制:通过 Codex/Claude Code 插件让写码 agent 生成变更叙述并标注假设与复杂代码,支持在 critic.run 或 MCP 中与原作者 agent 对话;fork 会话剥离写工具以限制权限。具体新信息是面向 agent 生成代码的评审交互与 MCP 集成,局限是效果仅来自作者自述,评论区已质疑叙述本身是否同样不可靠,且无独立验证。
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https://www.critic.run/ Show HN: Critic – Review code with the agent that wrote it (critic.run ) Hey HN, I'm Shreyash from Feyn. We help companies build custom models from their data. Today we're releasing Critic, a change review platform that lets you engage directly with the AI that wrote the code.Agents write most of our code. While that has made us more productive, understanding a change and its consequences has become incredibly difficult. As our company adopted more agentic tools, we found it harder to loop people in on the impact of a PR and the state of a project. We built Critic to fix this.Critic lets AI agents present their code, annotate key blocks, and include relevant evidence (like screenshots and instructions to run locally). Anyone viewing that change can talk directly to the agent that wrote it. See a demo here: https://www.youtube.com/watch?v=U2--lytmOtQ https://www.youtube.com/watch?v=U2--lytmOtQ .Critic works through a plugin for Codex or Claude Code. When your agent writes code, the plugin asks it to also write a narrative describing the story behind the change, and highlight any assumptions, decisions, or complex code. You can then view the change at critic.run or have your agent pull it via the bundled MCP. Every feature in Critic is available over MCP, so your agent gets all the same context without leaving its harness.From the dashboard or MCP, you can chat with the authoring agent directly. When Critic receives a question, it forks the authoring session and forwards your question there. That way your main thread stays clean and keeps working.Local changes are visible only to the owner. Anything pushed to GitHub is mirrored and visible to anyone with permission to view that change on GitHub.When building Critic, security was a big priority for us. AI agents often run in auto mode and can take many actions on your computer. We wanted to ensure that giving people access to your agent doesn't mean giving them access to your computer. All Critic forked sessions are stripped of their write tools. They can only answer questions about the change and in-progress work in that workspace.Critic has helped us catch several incidents before they hit production. The most common is a model not reusing artifacts, like existing styles, components, or functions. Because it's so easy to dig into an agent's work and question it, we've also caught more cases of models misdiagnosing issues or writing unhelpful code. Since Critic's UI is faster and friendlier to agents than GitHub, our team is returning feedback quicker as well.Critic is free to use. Sign up at https://critic.run https://critic.run . Let me know if you have feedback or questions. help hmokiguess 55 minutes ago [–] How does Critic ensure that the narrative, the assumptions, decisions and complexity generated by the agent are correctly brought forward in this different format and not, itself, being vulnerable to the same exact problems? reply Guidelines | FAQ | Lists | https://github.com/HackerNews/API API | Security | https://www.ycombinator.com/legal/ Legal | https://www.ycombinator.com/apply/ Apply to YC | Contact Search: