This is absolutely the proper way to do things. People either being forced to speed-code by KPIs or without the desire to understand what they’re making are missing out on how quickly you can learn and refine using LLMs

I do this sort of stuff too, but more because I have a fundamental mistrust of closed source anything. I don't like opaque binary firmware blobs, and I certainly don't like opaque answer machines, however smart they may be.

The only LLM I would feel comfortable truly trusting is one whose training data, training code, and harness is all open source. I do not mind paying for the costs of someone hosting this model for me.