alt Hacker NewsOne obvious reason is Python's extreme readability, it has often been described as being as close to executable pseudo-code as one can get.
If you're using an LLM to write code I think the rules would be
1. Use a language you know really well so you can read it easily, and add to it as needed.
2. Use a language that has a large training set so the LLM can be most efficient.
3. Use a language that is easy to read.
If your language has a small training set or you don't intend to do much addition or you don't really know any language that well or are restricted from using choice 1 for some reason, 2 and 3 move up, and python has a large training set and it is easy to read.
Replies
> One obvious reason is Python's extreme readability, it has often been described as being as close to executable pseudo-code as one can get.
But it's LLMs that read it not humans. At least that's the trend
> Use a language that has a large training set so the LLM can be most efficient.
It's pretty efficient with Rust.
I never really understood what exactly is so readable about python. I've been developing in Python for 8 years now, and before that I was a C# developer, and I don't find Python to be that more readable.
Sure there's less ceremony, and yes, you can have your project going with just a single file, but other than that...?
I think this is where D language make an excellent alternative to Python for AI assisted coding [1].
1) It's a very consistent language even if you compared to the other popular languages namely Python, Rust, C++ and Go. Try to perform doubly linked list with them and compare them all [1].
2) It's probably the most "Pythonic" among the compiled language according to Walter.
3) It utilizes GC by default, you can also manage your own memory and you can hybrid.
4) It compiled fast and run fast, heck it even has built-in REPL eco-system.
5) Regarding the small training set, with recent self-distillation fine-tuning approach it should be good enough, D (actually D2 version) has been around for more than a decade [2].
[1] Looking for a Simple Doubly Linked List Implementation:
https://forum.dlang.org/thread/[email protected]...
[2] Awesome D:
I would assume it's important to know what's in that training set too
Because I get reliable generation out of "niche" languages already
Is it code with lots of SQL injections used in a different domain to your own?
It's maybe not good to conflate quantity with quality
So in short, use Javascript /s
Python is locally readable. Reasoning about larger systems in Python is where things get really hard, because you have to describe how many small individually readable things interact with each other in a very limited vocabulary.