ovi_firstqa

Been doing QA for 19yrs, mostly at startups and still trying to figure out how are AI startups navigating the quality aspect nowadays, practically. I'm also trying to productize my expertise and I see quite a lot of confusion among startups these days between: moving fast(whatever that means), quality, hitting PMF and/or growth.

With AI-generated code, moving fast, and hitting PMF, what are some ways startups test their changes to deliver high-quality and what are some struggles? I find that no matter how much automated tests and such ... the reag bugs are still caught by customers or internal team(manually).