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What is the best AI for writing clean Python code?

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Hey everyone! I’ve been leaning on AI tools a lot lately to speed up my coding workflow, but I’ve hit a bit of a frustrating wall. While most models are great at cranking out logic that technically "works," I’m finding myself spending way too much time refactoring the mess they leave behind. My current project is starting to scale, and I really need to prioritize maintainability and readability over just getting a quick result.

I’ve been bouncing between GitHub Copilot and ChatGPT (GPT-4o), and while they are helpful, they often suggest deeply nested loops or ignore PEP 8 standards entirely. Just yesterday, I was working on a data processing script using Pandas, and the AI suggested a bunch of imperative "for loops" instead of using more efficient, vectorized operations. It also seems to have a very inconsistent relationship with type hinting and docstrings, which is a nightmare when you're trying to keep a codebase clean for a team. I really want something that understands the difference between a quick script and professional-grade software.

I’m looking for an AI assistant or a specific LLM that actually understands what "Pythonic" code truly looks like. I want something that defaults to SOLID principles and doesn't require me to constantly nag it to "make it clean" or "add type hints." Has anyone found a specific tool, or even a custom system prompt, that consistently outputs high-quality, elegant Python code?

I’ve heard some buzz about Claude 3.5 Sonnet being superior for logic and structure, and I’ve seen a few people mention Cursor as a game-changer for project-wide context. What has your experience been like? If you’ve managed to get an AI to write code that you’d actually be proud to submit in a PR without thirty minutes of cleanup, I’d love to know which one you’re using!


10 Answers
12

Ok so, here is what I recommend: if you want the best bang for your buck without the $20/month subscription "tax," honestly try using the Anthropic API directly with Claude 3.5 Sonnet. I use it through a frontend like TypingMind and it's soooo much cheaper because you only pay for the tokens you actually use.

Basically, the reason you're getting loops instead of vectorized Pandas is usually down to the model's default behavior, but Claude 3.5 Sonnet is lowkey the king of Pythonic logic right now. It actually understands SOLID principles and type hinting way better than GPT-4o in my experience. If you want a free-ish alternative that's built for devs, check out Phind—their Phind-70B model is realy good at avoiding those nested mess loops and respects PEP 8 without being nagged. It's a game changer for keeping things maintainable on a budget.

TL;DR: Use Claude 3.5 Sonnet via API to save money and get cleaner logic, or try Phind for a dev-focused tool that defaults to professional-grade code. gl!


11

For your situation, AI lacks architectural safety. OpenAI GPT-4o was not as good as expected for Pandas. Try DeepSeek-V2.5 for logic, but verify with a linter, right?


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In my experience, Claude 3.5 Sonnet is the way to go.
* Claude 3.5 Sonnet vs ChatGPT GPT-4o: Claude is way more Pythonic and handles Pandas much better.
* Cursor Code Editor: Best choice for project-wide context.
honestly im a beginner so i still double check everything cuz im cautious, but i’m super satisfied. it works well!! gl


2

Bump - same question here


2

Finally someone says it. Ive been thinking this for a while but wasnt sure.


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TIL! Thanks for sharing


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Tbh everyone is jumping on the Claude bandwagon lately and I get why because it is good - but from a market perspective there are a few other players worth looking at if you want that "clean" code feel without just following the crowd. I’ve been testing some alternatives and honestly it feels like the "big" models are starting to get a bit lazy with code quality lately so looking at specialized tools is probably the move for better logic. Here are a few that I've noticed perform pretty well for professional-ish output:
- Phind-70B: Their specialized model is surprisingly good at following strict instructions - it feels way less "chatty" and more focused on actual implementation than GPT-4o.
- Codeium: It’s a great competitor to the usual suspects and iirc they have a really decent free tier for individuals if you’re trying to avoid that $20 subscription tax.
- Llama 3.1 405B: If you can run it through a provider like Together AI or Groq it’s super fast and actually handles the logic for structural patterns quite well - maybe even better than 4o for some of that vectorized Pandas stuff you mentioned. Ngl even with the best tool you probably need a killer system prompt to force those type hints - basically tell the AI it’s a "Senior Staff Engineer" who absolutely hates technical debt and it usually stops giving you those nasty nested loops. Just my two cents from trying to keep my own mess organized lol.


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Same boat, watching this


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bump


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