test design Questions

I'm curious to know how AI has helped with routine tasks, like has the automation reduced time on regression testing, for example. Or has it changed the way you approach testing.

Tell me not only about benefits (if there are any) but also the challenges, like integrating AI results with manual processes, learning curves, or trust issues with automated outcomes.

Can anyone introduce a performance testing tool that you feel good about. I am currently using this called PerfDog. It includes a deep analysis mode, offering in-depth insights into CPU scheduling, usage, thread running states, call stacks, and rendering screenshots. It allows me to pinpoint performance issues at the function or module level, enabling timely optimization and repairs. Additionally, PerfDog embraces collaboration with a web data management platform, facilitating multiple human collaboration analyses for comprehensive performance evaluation. I think its pretty good but I am also looking for something better, has anyone get the same experience as me? Or can you recommend me some other tools?

What do you think are the Top 5 challenges of performing testing of APIs, I am referring only to only functional testing. I have generally come across many folks who are very good from app and business understanding but are not sure how to perform functional testing on APIs, what other reasons do you think exist as challenges to API tesing.
 

Hi Everyone, I am currently working on validation testing. I want to upgrade myself. Can someone suggest which are has more demand and growth in IT Industries in testing aspect, please?