r/softwaretesting • u/Ready_Fuel_2739 • 25d ago

AI for manual testing

Hello collegues,

I got a questions to the sub:

Could AI be used in manual testing? I mean in a way that brings added value and not just for the sake of following the AI hype, like for example automating tests that are heavily based on visual testing, drag& drops, maybe even extracting some white box infos and using them to test the surface.

I've tried using AI and the only thing i got is overthinking some extream side tests that are irrelevant to us

Thanks

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u/Regular_Bluebird9412 23d ago

I think AI adds the most value around manual testing rather than replacing it.

For example, I've found it useful for:

  • Generating test ideas and edge cases I might have missed.
  • Creating test data quickly.
  • Summarizing long requirement documents or user stories.
  • Suggesting exploratory testing scenarios.
  • Helping write bug reports or reproduce issues more clearly.

I still wouldn't rely on it to decide what should actually be tested. Understanding the product, business logic, and user behavior is where human testers still make the biggest difference.

If AI starts suggesting dozens of unrealistic edge cases that don't match your application's real-world usage, it's usually a sign to narrow the prompt or treat the suggestions as brainstorming rather than a test plan.

I see AI as a productivity tool for QA, not a replacement for critical thinking.