I’ve worked mostly as a data scientist / analyst but regex was being user to identify various things in the SQL database (which was viewed locally via R table). I forget the exact is cases, mostly remembering how complex some of it got… Especially after certain people were using GPT to build them.

And GPT like to make up extra bits not necessary, but my coworkers didn’t exactly have the knowledge to read regex, which lead to nobody really checking it. Now it just gives me anxiety, haha.

Thanks, I now have insight into my own personal hell for when I die.

It’s not really that hard to implement AI as far as I can tell, even if it does produce garbage results. Any CEO that thinks otherwise is getting bamboozled.

Not that I’m defending AI, boilerplate is still boilerplate and a crappier product is a crappier product. But they’ll take that trade off anyway which is why heads need to roll, lol

Isn’t it, haha. And yet I know a place that outsources it to slavic countries to save cash. I guess they’re tech savvy, but as contract workers it’s hard to say their dedicated to their craft.

QA in large companies seems to be first to get outsourced or at best, contacted into temp positions. First to get mixed, too. It’s the “skill-less labor” of the tech world.

In other words, blame the idiots in charge for not really investing in QA lol