While exploring X360, I found the requirement-to-test flow interesting. A requirement or Jira story can be used to create test scenarios, which can then be taken through automation and execution.
What I liked about this approach is that it goes beyond just generating test cases. It also looks at things like test coverage, execution, and maintenance, which are usually areas where QA teams spend a lot of time.
I also explored the execution side, where X360 supports web, API, mobile, and database testing. Features like Playwright-based test generation, self-healing, execution history, and video replay were some of the things I found interesting while going through the platform.
I’m still exploring how this works with larger test suites, different test data, and CI/CD workflows. For me, the interesting part isn’t just “AI can generate tests.” It’s more about how much of the overall testing process AI can actually simplify while still keeping human validation in the loop.
One thing I’m curious about is how others are approaching this in their teams. When using AI for test generation, do you prefer starting from requirements/user stories, or do you find it more effective to build tests from existing application flows?
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