[tasuki]

Ahaha, I feel this comment.

I used to do backend development in superior languages, and sometimes do hobby frontend in superior languages, but my work is Python now. And it kind of has to be Python: we do machine learning, and I work with GDAL and PDAL and all these other weird libraries and everything has Python bindings! I search for "coherent point drift" and of course there's a Python library.

The superior languages I mentioned... perhaps they have like a library for JSON encoding and decoding. You need anything else? Great, now you're a library author and maintainer!

[larodi]

relax, soon u be rewriting the essence of all these libs into something new. python has its days numbered also perhaps for many engineering decisions that are now cheap via llms.

[stuaxo]

The LLMs write bad python as easily as any other language.

To make it good, you need to review and interate.

[galaxyLogic]

I think this means reviewing is the main thing with AI, and therefore the language to use should be one where reviewing is easy, for humans.

[larodi]

indeed, from my perspective doing heavy agentic dev for six months, the language all is implemented should be easy. its api - also. like Swift is super easy to read, but the APIs of underlying libs - not so much. Python is reasonably easy to read, but with GIL and everything is a very slow choice. Zig seems a nice apporach to readability, Rust is definitely not so readable.

we may want to invent something akin to concise math notion, but not so much, in between pseudo-code and math.

[the_arun]

It is very hard to manually review AI generated code. May be we have to use another LLM to review and assume everything is good.

[tasuki]

This hasn't been my experience. I find LLM code about as hard to review as human code, perhaps a little easier.