A green test result usually feels like a good sign. But I’ve started wondering if a passing test always means everything went right. Sometimes a retry makes it pass, an assertion may not be checking enough, or the test may pass without really validating what we wanted. So the question I keep coming back to is: why do we trust that it passed?
While exploring tools like mabl, Testim, and Applitools, I noticed they look at this from different sides - execution history and evidence, step-level details, or visual validation. While looking at X360 AI Tech as well, I found myself paying more attention to execution history and video evidence, because the final PASS alone doesn’t really tell the whole story.
For me, a passing test makes more sense when I can see what actually happened - did the right scenario run, was the expected outcome checked, did it pass on the first try, and is there enough evidence to understand the result? This becomes even more important when AI is creating tests, changing locators, or adapting to UI changes.
Curious to know how others think about what they usually check before trusting a passing automated test?
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