I keep seeing more AI tools being applied to software testing and QA, especially ones that claim they can interact with apps like a real user instead of relying on traditional scripts.
I understand the appeal, since automation testing often becomes pretty heavy to maintain when applications change frequently.
I’ve also come across tools like Ito AI that are trying to explore this direction, but I’m still trying to understand how well this actually works in real production setups.
Curious if anyone here has tried AI-based approaches for testing or QA workflows, did it genuinely reduce manual effort, or just shift the work elsewhere?