I am conservative regarding AI driven coding but I still see tremendous value.
It makes me want to ask you: do you ever see helpful things from your colleagues at all?
I am conservative regarding AI driven coding but I still see tremendous value.
It makes me want to ask you: do you ever see helpful things from your colleagues at all?
No, not at all. I may be using it wrong.
I put in "write me a library that decodes network packets in <format I'm working with>" and it had no idea where to start.
What part of it is it supposed to do? I don't want to do any more typing than I have to.
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.
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.
Why can't you just pass any of those to an AI?
That is a heavily symbolic exercise. I will "read" the spec, but I will not pronounce it in literal audible English in my head (I'm a better reader than that.)
I write Haskell tho so maybe I'm biased. I do not have an inner narrative when programming ever.
Actually writing code is the fun and easy bit.