Testifly - Autonomous AI QA. Zero prompting. Zero maintenance.
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CTOs and founders with small teams and no time or resources to test and maintain. Connect your web app and Testifly does the rest. Discovers flows, writes tests, self-heals, explains failures with video. Zero prompting. Zero maintenance. 30-day free trial.
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Would it be wise to use Testifly for my vibecoded web-app?
Yes, it's a good fit @sumanyu1. Vibe-coded apps change fast, and the AI that wrote the code also grades its own work. Testifly is an independent check: it signs up and clicks through your app like a real user, so it catches broken flows (like a signup that fails after a deploy) that you would otherwise miss. You don't write any tests, and it works with your IDE and Claude through MCP, so it fits how you already build. You can start with the free 30-day Discovery.
Congrats. Say if a test fails due to temporary network issue, not because there is a bug in the product. In this case, does Testtifly retry before reporting the issue?
@iamanantgupta Yes. We retry every failed test on the spot. If it keeps failing, Testifly investigates the root cause and gives you options, including "there was a temporary glitch in my app." The test runs again at its next scheduled time, for example, the next day. If the glitch is gone and it passes, the issue is marked as resolved.
How does Testifly know which user flows are important enough to test automatically?
Congrats @amihay_schwarz1 & team.
Thanks for sharing @rohanrecommends :)
Keeping a history of what a test used to expect would matter here. It would give the team a way to check that a real regression hasn't become the new passing result.
The concern is fair @oleksii_sekundant. A tool that heals itself could, in theory, accept a broken result as the new normal.
Testifly's design guards against this. When a test fails, it separates a UI change (a moved button, a new selector) from a real behavior change (a wrong checkout total). It heals only the first kind. The second kind is flagged as a regression and stays red until someone looks at it. Each run also keeps its video and root-cause report, so you can see what happened and when.