ContextQA 发布 Ship,一个充当自动化 QA 工程师的 AI 智能体,可读取 PR、判断改动影响哪些用户流程,并在已部署应用上运行这些流程。它还能复现 Slack 或 Linear 中报告的 bug、定位可能原因,并把证据交给开发者或 Claude、Codex 等编码智能体修复。
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.
Everyone got a coding agent. Nobody got a QA engineer. Until today. Meet Ship, your Autonomous Quality Engineer. It tests deployed PRs, reproduces bugs from Slack and Linear, and hands Claude or Codex the context to fix them. Try it free: https://ship.contextqa.com在 X 查看被引用的帖子
来源:Rohan Paul · x.com