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If AI writes your code, why use Python?
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Re: If AI writes your code, why use Python?
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Re: If AI writes your code, why use Python?
#83Many here propose replacing Python with more performant, but less familiar languages - mostly Rust, Go. But I find the argument that the AI - HUMAN interface is the most important. A simple version of this is “no, stick with Python if that’s what you know”. A more interesting version is “use this new found AI leeway to move up the abstraction level”, “try something more expressive and human oriented”, “make a DSL and…
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Re: If AI writes your code, why use Python?
#84Assuming you are thinking about software architecture and looking under the hood, you are likely to be reading much more code than before. Python is really nice on the eyes and you can easily get a good grasp of what the code is doing. Plus, it's dynamically but strongly typed, so what you see in the code is usually what you get.
I think the rule of thumb is to use the tool that is right for the job and that you are going to be able to understand the output.
Re: If AI writes your code, why use Python?
#85Read the first few comments and surprised I didn’t see it, but training data. The voluminous amount of Python in the training data. I could write in brainfuck with ai, but I presume, wouldn’t get the same results than if going with python. My follow up question: with AI now, why care about a lang until you need to?
I wrote about the meta thesis of programming languages in the training data here
Re: If AI writes your code, why use Python?
#86Earlier quoted context omitted.
In a world where AI supposedly can write in any language, Go is much better choice than TypeScript. Imagine contemplating for more than a few seconds a choice between simple, fast, cross-compilable language, and a TypeScript -> JavaScript -> Interpreter -> JIT stack. If you don't know Go, it's more efficient to learn it than to waste the hardware resources of thousands to stay within JavaScript.
Absolutely. And in this same thread I am noticing people offering Java (lol). Yeah, we all need 1.5s startup time for one-off scripts, surely.
Well, these days a small CLI program in Java (say, ls) starts up cold, runs, and terminates in ~70ms, not 1500ms, but yeah, sometimes 70ms is too long to wait for a script.
Re: If AI writes your code, why use Python?
#87AI'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 othe…
I figure a big part of it is that SWE-Bench is the target benchmark for programming and it's all python.
Python being the language LLMs are best at predates SWE-Bench by years.
Re: If AI writes your code, why use Python?
#88[deleted]
Re: If AI writes your code, why use Python?
#89Read the first few comments and surprised I didn’t see it, but training data. The voluminous amount of Python in the training data. I could write in brainfuck with ai, but I presume, wouldn’t get the same results than if going with python. My follow up question: with AI now, why care about a lang until you need to?
Also, every single interpreter error has an entire corpus of StackOverflow-esque fix suggestions alongside it, and the model has been fine-tuned to minimize such errors on the first try. This hasn't been done for more obscure languages. You'll likely take more turns, on average, to get a working output, even if your problem is fully verifiable via test input/outputs - and if it's not verifiable, you don't want the "attention" of the model focused on syntax rather than the solution.
Re: If AI writes your code, why use Python?
#90As others have said, the main benefit with Python over Rust is library support especially with ML features. The other gap as I see it with Rust is the lack of native flexible UI support. The nice thing about Rust though is it can serve as a very fast and stable core for an app and offload specifics to TS and Python as their strengths allow, so you get the best of all worlds.
My current goto for desktop apps is Tauri, which give us a rust backend and TS fronted (usually React). Local ML features can be easily loaded as a python sidecar. Production bundling can be a little challenging but it seems to work well so far.
Sidenote: Golang is also an amazing language for LLM use, I generally do most of my "infra" stuff in Golang over Rust, but either work fine most of the time.