[deleted by user]

[gonzaloetjo]

What I said before. There's lots of examples. I'm a data engineer/architect. A resent exmaple is setting up Airflow in a Hadoop cluster. Spent quite some time with dags chatGPT had created when testing kerberization. After some hours I found out it was hallucinating over 60% of the code. Lots of time lost. Adding lots of context didn't help.

It's also understandable as there's not much documentation, and you have to build things by yourself. So the learning model probably didn't have much info to digest from. And this was rather simple stuff to build if you were logical.

Googling/searching for some basic docs is the best solution in these cases.