ContextQa 发布 Ship：自动测试 PR 影响的用户流
用 agent 写 PR 已经很便宜了，测回归还得靠人开浏览器。ContextQa 出的 Ship 就干这个活，还能把 bug 证据直接丢给 Claude 修。
ContextQa 推出名为 Ship 的 AI agent，定位是自动化 QA 工程师。它读取 PR 后判断哪些用户流受影响，并在部署后的应用上运行这些流程做验证。它还能复现 Slack 或 Linear 里报的 bug，定位可能原因后把证据交给开发者或 Claude、Codex 这类编程 agent 去修复。
Generating a PR with an agent is cheap now. Checking that it didn't break a user flow still takes a person and a browser.
That second job is where a lot of engineering time goes now.
@ContextQa released Ship, an AI agent that works as an automated QA engineer:
> It reads the PR > works out which user flows the change affects, and runs those flows against the deployed app. > reproduces bugs reported in Slack or Linear, finds the likely cause, and hands the evidence to a developer or a coding agent like Claude or Codex to fix.
If agents are going to ship more code, something other than a human has to exercise the result.
