While exploring X360 AI Tech, I started thinking about something beyond just generating test cases-how much should we actually trust them?
Creating a basic happy-path test with AI seems pretty easy, but things like business logic, edge cases, and whether the test is actually checking the right thing still need a human eye.
I’m also wondering about what happens a few months down the line.
The app changes, requirements change, and some tests that made sense earlier may not make sense anymore.
So maybe the bigger challenge isn’t just generating tests, but keeping them useful over time.
For me, AI feels more useful as a second pair of hands rather than something that makes all the testing decisions.
Curious how others are using it in real projects-are you reviewing every AI-generated test, or trusting it for certain types of scenarios?