You're right, you are using it wrong. An LLM can read code faster than you can, write code faster than you can, and knows more things than you do. By "you" I mean you, me, and anyone with a biological brain.

Where LLMs are behind humans is depth of insight. Doing anything non-trivial requires insight.

The key to effectively using LLMs is to provide the insight yourself, then let the LLM do the grunt work. Kind of like paint by numbers. In your case, I would recommend some combination of defining the API of the library you want yourself manually, thinking through how you would implement it and writing down the broad strokes of the process for the LLM, and collecting reference materials like a format spec, any docs, the code that's creating these packets, and so on.

> An LLM can read code faster than you can, write code faster than you can, and knows more things than you do.

I don't agree. It can't write code at all, it can only copy things it's already seen. But, if that is true, why can't it solve my problem?

> The key to effectively using LLMs is to provide the insight yourself, then let the LLM do the grunt work

Okay, so how do I do that? Remember, I want to do ZERO TYPING. I do not want to type a single character that is not code. I already know what I want the code to do, I just want it typed in.

I just don't think AI can ever solve a problem I have.