Cut Backlogs, Not Corners. Turn Months of Backlog into Hours of Automated Testing Success.

San Francisco, CA
Joined June 2023
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?
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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?
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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?
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"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.
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Most teams don't have a QA problem. They have a time problem. Ship is an autonomous quality engineer. It reproduces bugs, reviews PRs and finds the likely root cause. Your engineers still decide what ships. Lavanya shows how. Try it free for 15 days: ship.contextqa.com
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He tagged an AI agent in Slack. It found the bug. Ship reproduced it, found the root cause, wrote the fix steps, and after the PR merged, caught that the fix was wrong. Live demo by Harsh Nigam on the AI with Arun Show.
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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.
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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.
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Can AI grade its own homework? "You don't let a kid grade their own homework. They'll always give themselves 10 out of 10." Harsh Nigam on the AI with Arun Show, on why end-to-end testing stays no matter how smart coding models get.
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Someone reports a bug in Slack. They tag @Ship. Ship tries it in your test app 3 times. It fails every time, so the bug is real. You get a replay, the logs, the likely cause and a test, so this bug gets checked on every release from now on. No more "can't reproduce."
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A normal day with Ship on your team. Three moments. Morning: a pull request opens. Before anyone reviews it, Ship has worked out what it could break and tested it on the real app. Afternoon: a customer in Chicago says "something is not working." Normally that means hours of "can you send a screenshot?" Ship reproduces the issue and points to where it is likely coming from. Evening: the fix is in. Ship tests it one more time and keeps that test, so the same bug does not come back next month. Less waiting. Fewer surprises. More time to build. See how Ship works: ship.contextqa.com/?utm_sour… #Ship #ContextQA #QA #SoftwareTesting #AIAgents
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Most enterprise AI testing pilots look great in the demo. Julian Mardirosian (VP Sales, ContextQA) speaks at the Software Quality Summit in Austin, Oct 23. Come say hi if you are there.
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