In my last few posts, I’ve been exploring AI-generated tests and how much we should actually rely on them.
While exploring X360 a bit more, I started looking at what happens before a test is created - turning a requirement or Jira story into useful test scenarios.
AI can help break a requirement into different scenarios and possible edge cases, which can save some initial effort. But a generated scenario can still miss an important business rule or user behavior.
That’s why I think the useful part isn’t simply generating more tests. It’s making sure the tests we create actually cover what the requirement is trying to achieve.
I’m still exploring how this works in real projects, especially as requirements and applications keep changing.
