Guillermo Rauch：Vercel CI 如何缓解 AI 编程瓶颈
Vercel CI 通过以下方式解决“AI 编程瓶颈”： ① 快速、稳定的基础设施（工作更快） ② 集成 Turborepo（减少工作量） ③ 智能体驱动的 CI
① 很直观。你的 CI 很慢、不稳定，还会宕机。我们解决这些问题。我们运营着全球 20 个集群，每天运行数百万个 microVM。
② 没那么直观，但非常强大。Turborepo 的设计目标就是智能跳过和缓存先前的工作。依赖关系图通过计算生成，而非手写。
让你的智能体迁移到 @turborepo，开始节省金钱和时间吧。即使你不用我们的服务也可以。不过你应该用，真的很好。
③ 会改变游戏规则。CLI 中的 𝚟𝚎𝚛𝚌𝚎𝚕 𝚌𝚒 是第一步，因为现在你的智能体可以检查、中止、触发和重跑 CI。Vercel Agent 可以帮助优化它。而这才刚刚开始。
你可以期待大量钩子和能力，让 CI 变得更加智能，甚至能把握工程师会考虑的细节并作出判断（“那些测试真的值得运行吗？”）。
智能体驱动的 CI 是未来交付软件的方式。很高兴能和大家一起构建它！
对照原文
Vercel CI solves the "AI coding bottleneck" via: ① Fast and stable infrastructure (faster work) ② Turborepo integration (less work) ③ Agentic CI ① is obvious. Your CI is slow, flaky, goes down. We solve that. We operate 20 worldwide clusters doing millions of microVMs per day. ② is less obvious, but very powerful. Turborepo was designed to intelligently skip and cache prior work. The graph of dependencies is computed, not written. Ask your agent to migrate to @turborepo and start saving money and time. Even if you don't use us. But you should, it's really good. ③ is a game-changer. 𝚟𝚎𝚛𝚌𝚎𝚕 𝚌𝚒 in the CLI is the first step, because now your agents can inspect, abort, trigger, replay CI. Vercel Agent can help optimize it. And this is just the start. You can expect a lot of hooks and capabilities to make CI something far more intelligent, that can even capture the nuance and judgment an engineer would have ("Are those tests even worth running?") Agentic CI is the future of how we ship software. Excited to build it with you all!