Hi everyone, I'm currently working on integrating Generative AI into our test automation framework and could use some expert advice. Has anyone had experience using AI to enhance test case generation or maintenance? Any recommendations on best practices or tools would be greatly appreciated!
Question
Seeking Expert Guidance on Generative AI for Test Automation
Hello
Can’t tell I’m an expect but I have done some poc’s and based on my experience, I believe I can help.
If I understood your query - you’re using GenAI to enhance test case generation - We can do that with proper context that means - Data needed for GenAI To understand the test case, formatting instructions, and even a sample test case.
Looking forward to help on this more.
+3Hello
AI can help generate test cases, suggest edge scenarios, and reduce maintenance effort, but human review is essential to validate business logic and test accuracy. I’ve seen better results when AI assists in drafting tests while testers review, refine, and approve them.
Best practice is to start small—use AI for test case suggestions or refactoring, keep humans in control of decisions, and gradually expand usage. This balance ensures quality, trust, and reliable automation.
Hope this helps 👍
Please let me know require any help/suggestion
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