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

San Francisco, CA
Joined June 2023
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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A 10-minute accessibility check. No tools needed. 1. Sign up with only the keyboard 2. Zoom to 200%. Is anything cut off? 3. Listen to your homepage with a screen reader 4. Every image has alt text 5. Grey text passes a contrast check Save this.
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2:00 AM: the agent ships a small login fix. 2:07 AM: "Invalid password." It was the right password. Every team has a 2:07 AM story. What's yours?
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We launched Ship this week, and the first question people asked was simple: what does it actually do? Three things. 1. When you open a PR, Ship tests what actually got deployed, not just the code that changed. 2. When someone reports a bug in Slack or Linear, Ship reproduces it and shows you exactly how it fails. 3. When it finds something, it hands Claude or Codex the full picture: replay, logs and the likely root cause. The fix starts from evidence, not guesswork. One thing we were firm about from day one: Ship does not merge or ship anything on its own. Your team still makes the call. Coding agents made teams faster at writing code. Ship makes sure what gets deployed actually works. Try it on one PR: tinyurl.com/2bn5kjja #QualityEngineering #SoftwareTesting #AIAgents #DevTools
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You don't need an eval platform to start testing your AI feature. You need 3 things: 1. 50 real questions your users asked 2. A written rule for a good answer 3. A rerun after every prompt or model change Save this.
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5 visual bugs your tests will happily pass: 1. A button pushed off screen on small phones 2. Text on top of an image 3. Black text on black in dark mode 4. A font that never loaded 5. A popup covering the Pay button Only screenshot comparison catches them. Save this.
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Last week OpenAI made Codex up to 8x faster with Ultrafast. A faster fix is still a fix nobody has checked. One change can touch login, checkout, coupons and refunds. What do you run before you merge an AI fix?
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If you learned test automation, you probably learned it from @rahulshettyacad. His bestselling AI testing course now has a new 54-minute section on ContextQA. Requirements to test cases. Web and mobile. No locators. You stay in control. Thank you, Rahul.
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Great software doesn't ship on hope. It ships with evidence. Meet Ship, your Autonomous Quality Engineer. It tests the flows a change touches, reproduces bugs in a real browser, and finds the likely cause. Then a human decides.
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5,000 manual test cases, automated in minutes. We met IBM's team at SXSW. Their Build Partner team helped us bring watsonx.ai into ContextQA, and its language models turned existing manual tests into automated ones. No rewrite, no custom model. Full story in the reply.
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