> The hardest part of QA still seems to be maintaining tests as the system evolves
That’s interesting. It may explain why so many companies now push “self-healing” tests with LLMs for small UI shifts. The teams I spoke with faced different challenges, so the toughest part varied by where they stood in their QA cycle.
> Curious whether you’re aiming...
I started with a broad “AI test everything” approach, but I learned fast that the intent problem I mentioned is tough to beat. The prototype looked great in demos, yell fell short when I dogfooded them on my other projects. And when I met with teams, I didn’t see clear market pull. What comes next is still open.
That’s interesting. It may explain why so many companies now push “self-healing” tests with LLMs for small UI shifts. The teams I spoke with faced different challenges, so the toughest part varied by where they stood in their QA cycle.
> Curious whether you’re aiming...
I started with a broad “AI test everything” approach, but I learned fast that the intent problem I mentioned is tough to beat. The prototype looked great in demos, yell fell short when I dogfooded them on my other projects. And when I met with teams, I didn’t see clear market pull. What comes next is still open.