oh man, I feel u on the ChatGPT struggle!! Honestly, I was hitting that same wall with a complex data processing script last month and it was driving me actually insane... I mean, ChatGPT is cool for basic boilerplate but it lowkey sucks at deep logic bugs. For your situation, I would suggest making the jump to Claude 3.5 Sonnet immediately. Seriously, it's a total game changer for Python!! In my experience, Claude 3.5 Sonnet has this weirdly high "reasoning" capability that ChatGPT lacks. It caught a recursive logic error in my backend that three other AIs missed completely. Plus, it's way better with specific library syntax without hallucinating outdated methods. I also use GitHub Copilot every single day inside Visual Studio Code, and while it's fantastic for "writing" code fast, it's not always the best at "fixing" it when things get messy. So what I do basically is use Copilot for the typing, but when I hit a wall? I copy-paste the whole block into Claude 3.5 Sonnet and ask it to find the logic leak. It works literally every time. It’s kinda scary how good it is tbh. Anyway, hope that helps you crush those bugs... definitely worth a shot tho!! peace ✌️

Seconding the recommendation above!! Claude is goated but if ur on a budget and care about code safety, try these: 1. Codeium - It's basically FREE for individuals and actually has solid privacy controls so ur code isnt leaked.
2. DeepSeek-Coder-V2 - Highkey cheap via API. In my experience, it handles complex Python logic way more reliably than GPT-4o lately. Seriously worth a look if you want reliability without the HUGE price tag. gl!

> Which AI have you found most reliable for Python-specific syntax and fixing complex library issues without constant hallucinations? So for your situation, I would suggest switching over to Claude 3.5 Sonnet and maybe looking into Cursor Code Editor. I’ve been using ChatGPT for ages but honestly it started getting lazy with Python logic lately... like it just gives me generic loops that dont even solve the actual edge case?? Super frustrating. Claude 3.5 is basically the king of coding right now imo. It feels way more 'aware' of Python-specific quirks and doesn't hallucinate library methods as much as OpenAI GPT-4o does. Plus, the Anthropic Claude Pro subscription gives you a huge context window which is huge for fixing complex library issues where you gotta paste like three different files into the prompt. I know the previous reply mentioned using an IDE, but Cursor AI is a whole other level because it's built *around* the AI. The 'Composer' feature is actually insane for debugging... you just hit Cmd+I and tell it the bug, and it scans your whole project folder. It uses Claude 3.5 Sonnet as the brain but the way it reads your local files is what makes it so much more reliable than just copy-pasting into a web browser. I think your gonna find it way more helpful for those deep logic bugs. Anyway, thats just my two cents. Its been a lifesaver for my FastAPI and data projects lately. gl!

Exactly what I was thinking

> Which AI have you found most reliable for Python-specific syntax and fixing complex library issues without constant hallucinations? Ive been spending quite a bit of time lately looking into how different models handle the deeper nuances of Python libraries. When I was working on a project that involved complex async functions, I noticed that the performance varies wildly depending on the brand. For instance, comparing the logic handling in Google Gemini 1.5 Pro or even Meta Llama 3 70B against the tools youve already mentioned shows some pretty distinct differences in how they approach context. It really seems to come down to how much of the library documentation the model has been trained on recently. In my experience, some models are great at syntax but struggle with the actual logic flow between third-party modules. Are you hitting these bugs with very specific, niche libraries or is it more about the general architecture? Also, are you needing something that has a massive context window for large files, or are you working with smaller, modular scripts?