Yea I take the step a bit further, why bother Rust ? Just go write assembly or better the executable bytes... You see ? Readability is very important :)

I legit have had this same thought. If we are going to be writing programs with AI, We should be programming in a more performant and explicit way, with statically typed programming languages that are able to encode the invariants in the program, even if it requires programming in a way that would be tedious for humans

If you're working with an agent to write code, you want it in the most quickly-readable format possible. That's generally Python, although YMMV. I want to be able to skim and zoom in on parts of code that might need attention. This makes it easy.

If the code were written in Java, I'd have more to read. If it were in JavaScript, I'd be slower following the calls (although the type system might catch issues more quickly - not a problem in my experience). I think Python is a good choice.

I am surprised that Python is being "threatened by AI writing code", as per the article, but that the said-article never wondered if the AI was more efficient writing in Python or what else.

I mean, the Python ecosystem is qualitative and generally well-documented. What if the AI spent 30% less tokens generating code than e.g. in Rust?

Or is there a kind of information theory where, given the same goals / tests, the AI will spent roughly the same in any language?

Kind of my fear is that the industry and dev community will ignore new frameworks, languages, architectures etc because the LLM aren't trained on those new things.

For example low level converging to Rust, web frontends to something like React etc.

> Andreas Kling, creator of the Ladybird browser and a career C++ engineer, ported Ladybird’s JavaScript engine from C++ to Rust in two weeks

Discussed here with 698 comments (https://news.ycombinator.com/item?id=47120899)

This seems sort of like asking whether a chatbot should answer you in English or Japanese. Obviously, it should use whichever language you understand. If you understand Python best, why not write code in Python?

But on the other hand, maybe you could learn some other programming language, particularly with AI help. If that's what you wanted to do anyway, it seems like a good time to learn.

One underrated advantage of using Python or Typescript is that AI agents can inspect the code of installed dependencies.

This means you don't have to muck around with supplying the right documentation for each version of each dependency, or worry about hallucinated interfaces (at least with the latest models).

In the past you'd have to dig through a foreign codebase manually to figure out why a documented interface for a dependency is not working as expected, but frontier models automate that quite well.

Typescript with strict types and ultra-tight eslint config can give Rust a run for its money.

This post resonates. I recently built a little web service to scratch an itch I've been having and after discussing the options with Claude we settled on Go, and honestly it's been fantastic. Highly performant, native threading, dead simple to deploy with containers. And I don't even know how to read or write Go.