alt Hacker NewsI'm pretty sure it has to do with the individual as well as the culture. Juniors/new hire use AI to multiply by two their wrong/unsafe output, and seniors then have to spend more time correcting it.
I'll be honest: I piss poor code, each time I come back to an old project I see where I could have done better. New hires are worse, but before AI (and especially Opus) they didn't produce that much code before spending like 6 months learning (I'm on a netsec tooling team). Now, they start producing code after two weeks or less, and every line have to be checked because they don't understand what they are doing.
I think my personal output was increased by 15% on average (maybe 5 on difficult projects), but our team output decreased overall.
Yes, we as a society urgently have to figure out how to learn and educate with AI. There are even studies showing that students who use AI to do their work do not learn the necessary skills.
And I'm also hearing grumblings about entry level talent that is absolutely clueless without AI, which does not help the junior hiring scene at all.
At this point it seems clear that people wishing to learn a discipline should restrict their usage of AI until they have "built the muscles", but none of our educational, testing, recruitment and upskilling practices are conducive to that.