Build passed. Lint passed. Ship said: not safe to merge. In this demo, a refactor quietly let Member accounts see full account numbers. Ship caught it in the deployed app, 12 of 12 replays, with evidence. Claude Code wrote the fix. Your team still decides.

ContextQA runs on Google Cloud. One platform to test web, mobile, APIs, Salesforce, Oracle, SAP and the AI agents inside your apps. Tests from real user flows, selectors that heal themselves, and faster answers when a release fails.

The QA engineer is dead? Not quite. "Quality is personal and subjective." Harsh Nigam says QA will define what quality means, agents will do the work, and QA becomes the quality architect. Do you agree?

Your AI agent can sound right and still do the wrong thing. Wrong tool. Wrong data. An action it was never meant to take. And the reply still says "done." Before production, ask 3 questions: Did it give the right answer? Did it do the right thing? Can you prove it?

How teams used to keep score: test cases, coverage, pass rate. Then agents started opening pull requests. 45 a day. Then 148. Code got faster. Understanding didn't. How many of those changes actually ran in the app?

"Could not reproduce" is not a resolution. A bug your team can't reproduce is a bug that comes back. Keep the evidence with the bug: the replay, the steps, the logs and the likely cause, in one place.

A code change. A bug report. Something odd in production. Ship knows what to do with each one: test it in the real app, reproduce it with proof, or check it and explain it. Meet your AI quality engineer.

Friday, 4:47 PM. "Checkout is broken for some users." Ship picks up the report from Slack, reproduces the bug, and hands your team the recording, the steps and a likely cause. Your team still decides on the fix. They just start with the evidence.