RustBook VS codespin

To rephrase it a little bit.

Much of programming, coding and developing is done by a person who is a knowledge worker and writes code. A good proportion of code to be written, will be written just once and never again. The one-off code snippet will stay in a file collecting dust forever. There is no point in trying to remember it in the first place, because without constant repetition of using it, it will be forgotten.

LLMs can help us focus our knowledge where it really matters, and discard a lot of the ephemeral stuff. That means that we can be more of knowledge workers and less of coders. I will push it even further and state that we will become more of knowledge workers and less of coders until we will be, eventually and gradually, just knowledge workers. We will need to know about algorithms, algorithmic complexity, abstractions and stuff like that.

We will need to know subjects like that Rust book [1] writes about.

[1]https://github.com/QMHTMY/RustBook/tree/main/books

This seems to be exactly what I am looking for, but it's in chinese.

Shameless plug. I have a VS Code extension that's very nearly ready.

Codespin CLI tools (ready to use): https://github.com/codespin-ai/codespin

VS Code extension for the CLI tool (soon): https://www.youtube.com/watch?v=2TJqosFmkao

I'll do a Show HN in a week or two.

Shameless plug: https://github.com/codespin-ai/codespin-cli

It's similar to aider (which is a great tool btw) in goals, but with a different recipe.

That AI is transformative for development is not in doubt any more. Just this past week, I've been able to build two medium sized services (a couple of thousand lines of code in python, a language I hadn't used for more than a decade!). What's truly impressive is that for the large part, it's better than the code I'd have written anyway. Want a nice README.md? Just provide the source code that contains routes/cli args/whatever, and it'll generate it for you. Want tests? Sure. Developers have never had it so easy.

Another thing to note is that for code generation, GPT4 runs circles around GPT3.5. GPT35 is alright at copying if you provide very tight examples, but GPT4 kinda "thinks".

Shameless plug: I have this open source app which automates a lot of grunt work in prompt generation - https://github.com/codespin-ai/codespin-cli