What you don't seem to realize is that humans also give inconsistent results. The way we deal with that is by having specifications, tests, code reviews and so on. People who don't work with LLMs seem to have this naive idea that it's sort of like a slot machine where you put a query in and then you either get a correct result or some nonsense and you have to try again.

The way this process actually works is that you start by understanding the problem and figuring out how you want to solve it in terms of architecture, data structures, and algorithms that will be used. Then you get the LLM to come up with a rough shape of the solution, and iterate on it until it works the way you want.

I have no idea what the marketing hype you're quoting about models 'breaking out' or how much time it takes you to find things online has to do with anything either. We're talking about a specific use case for LLMs in the context of agentic coding here.

I also have no idea why you have to give anything to some big tech companies. Evidently you're not aware of the fact that there are plenty of open Chinese alternatives you can use, and that it's possible to run local models now as well. Nobody is asking you to give anything to OpenAI or Anthropic.

It's pretty clear that you've spent absolutely no time actually trying to understand the subject and you have a reactionary position as a result.