Hey community!
With AI and machine learning becoming increasingly relevant in the software testing space, I’m curious to know how you are applying these technologies in your test automation workflows.
Are you:
- Using AI for test case generation or prioritization?
- Leveraging ML for predictive analysis of test failures?
- Integrating AI-driven tools alongside Katalon Studio or Katalon TestOps?
- Automating flaky test detection with AI-based insights?
Would love to hear your experiences, challenges, or even the tools you’re experimenting with!
Let’s share ideas and learn from each other.
Thanks in advance!