But isn't this true of all technologies? I know plenty of people who are amazing Python developers. I've also seen people make a huge mess, turning a three-week project into a half-year mess because of their incredible lack of understanding of the tools they were using (Django, fittingly enough for this conversation).

That there's a learning curve, especially with a new technology, and that only the people at the forefront of using that technology are getting results with it - that's just a very common pattern. As the technology improves and material about it improves - it becomes more useful to everyone.

I'm not going to dispute your own experience with people who aren't using this stuff effectively, but the great thing about the internet is that you can use it to track the people who are making the very best use of any piece of technology.

We have gpt-5 and gemini 2.5 pro at work, and both of them produce huge amounts of basically shit code that doesn’t work.

Every time i reach for them recently I end up spending more time refactoring the bad code out or in deep hostage negotiations with the chatbot of the day that I would have been faster writing it myself.

That and for some reason they occasionally make me really angry.

Oh a bunch of prompts in and then it hallucinated some library a dependency isn’t even using and spews a 200 line diff at me, again, great.

Although at least i can swear at them and get them to write me little apology poems..

Cursor can read logs and schemas and use curl to test API responses. It can also look into the database.