How I Use AI as a QA Engineer: What Actually Works (and What Doesnβt)
I didnβt start because it was trendy. I started because I was tired of the repetitive friction.
I didnβt pick up AI because everyone was talking about it.
I picked it up because I was doing the same kind of work every day.
Writing similar test cases.
Debugging the same API failures.
Reading requirements that looked complete but clearly werenβt.
At some point, it stops being interesting.
AI didnβt change my role. It just removed a lot of the low-value effort that comes with it.
This is how I actually use it now.
I Donβt Start From Zero Anymore
This is the biggest change for me.
Earlier, every feature meant opening a doc and thinking from scratch. What are the scenarios? What can break? What should I validate?
Now I take the requirement and drop it into tools like ChatGPT or Claude and ask for a rough set of:
Functional scenarios
Negative cases
Edge cases