They do what they claim to do maybe 20% of the time. The other 80% of the time is spent trying to figure out why they aren't working, why they corrupted their data, why they crash every 10 minutes, etc.

And I want to be clear that this isn't some non-technical novice vibe coding this garbage. This is often extremely talented developers with decades of experience who have apparently decided that they don't need to look at their code anymore.

You can get very good results out of AI agents. But mostly the people who get good results are the ones who still read the LLM output in detail, and who introduce the structure the LLMs are missing. But like I said, this distinction mostly becomes apparent past a certain size and novelty level.