AI 导读
编程智能体让交付更多代码变得更容易。但总得有人让它持续运行。 Traversal 就在做这一侧。它映射线上服务及其依赖关系，当出现故障时，会并行排查多个可能原因。它在生产中学到的东西也会回流给编程智能体。 到目前为止，大部分 AI 工具都投向了写代码。投向部署之后环节的要少得多。
正文
Coding agents are making it easier to ship more code. Someone still has to keep it running.
Traversal works on that side. It maps live services and their dependencies, and when something breaks, it checks several possible causes in parallel. What it learns about production also goes back to the coding agents.
So far most AI tooling has gone into writing code. Less of it has gone into what happens after deployment.
We just raised $120M, with a $1B valuation, to build software that keeps itself running. AI is writing more code than ever. It’s also making production less reliable: more code, shipped faster, understood by few. @traversal_ai understands how production systems fit together, finds the root cause of incidents, and helps prevent the next one. Engineers at Nubank, Harvey, PepsiCo, DigitalOcean, and a growing list of Fortune 100 companies use Traversal every day. Here’s production without the drama 👇在 X 查看被引用的帖子
来源：Chubby♨️ · x.com