AI가 코드를 작성해 준다면, 굳이 파이썬을 왜 써야 할까요?

Bit off topic but why in the world are people still posting on medium? The reading experience is abhorrent; I couldn’t even finish reading this article before a full screen popup literally blocked the sentence I was reading. Is there some incentive I’m not seeing?

I assume this is why things like PyO3 are popping up? If so, sort of a fascinating way to compartmentalize new rust code into legacy .py code in lieu of a refactor, or at least, a way to do a staggered refactor and eat the elephant in bites :)

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.

Python has a much more mature ecosystem than Rust, especially for AI/ML stuff. I ran into a rust crate that purported to do a certain ML algorithm but did not do it correctly. I managed to write a replacement with Claude though. I do think enforcing correctness at the type system level is a good idea for AI, which is why I often choose languages like C# and Rust over Python. However, for some things Python is definitely the correct tool for the job.

The ideal language for AI coding: 1. Type safety as basic guard rails that LLM output is syntactically and schematically correct 2. Concise since you have to review a lot more code 3. Easy to debug / good observability since you can't rely on your understanding of the code. Something functional where you can observe the state at any moment would be ideal. 4. A very large set of public code examples across various domains so there's enough training data for the LLM to be proficient in that language 5. A large open source ecosystem of libraries to write less code and avoid the tendency for generated code to bloat It's basically all the same things you look for in general. I think TypeScript scores high here but I'm curious if anyone knows of a language that fits these criteria better.

AI's are really good with Python. Quick turnaround. Easy to read. Tons of training data/examples. Many of the same reasons we wrote Python before. Another benefit to using Python, is if you subscribe to writing/vibing a throwaway version first, a Python version is 100x better than a spec. (Disclaimer: I teach Python and AI for a living and am doing a tutorial at pycon this week, Beyond vibe coding. Am also using other languages as there are times when Python isn't appropriate)

You can of course use any language but here is my advice: you should use the language that you know best to make your life as uncomplicated as possible when you want to understand what the LLM was creating. Remember, you are the judge whether the code is OK and if you use assembler you might get really performant code, but can you trust it? Of course it might be a good incentive to learn rust or go. Or challenge yourself to learn something really cool like LISP, COBOL, FORTRAN, APL or J. (just kidding...) just my 2 ct...

[delayed]

1) python is one of the foremost trained upon languages 2) it's practically verbose, not technically 3) it resembles pseudocode 4) batteries included shortcuts a lot of work all of these reasons are a boon for LLM work.