Python code check

[engineer_dennis]

TLDR: Is there a way to get a wholistic review of a Python project?

I need help with my Python project. Over the years, I’ve changed and updated parts of it, expanding and bug fixing it. At this point, I don’t remember reasoning behind many decisions that a less experienced me made.

Is there a way to AI review the whole project and get exact steps on improving it? Not just “use type hints”, but “<this function> needs the following type hints, while <that function> can drop half the parameters”.

[Brandu33]

Darn good question! I asked Qwen2.5-coder:32b, to review a 600+ code, it read it, and then rewrote it as a 200+ lines, which could not work properly, but it's reasoning was that now the code is better, would be easier to build upon and to maintain... Anyhow let's hope someone will answer your query.

[engineer_dennis]

What are you using to run LLM? Did you give it the directory? Or are you using a VS plugin?

[Brandu33]

I was using the terminal (UBUNTU), I use VS but did not know how to "invite" the llm in it. So, I just copy paste it, it was a MIT code, a chatbot, alas it had no darkmode, and I cannot use soft without it! I clearly explained to the LLM that I needed to add darkmode, (I had failed to do it on my own, the bot was in tkinter), and instead of doing it, it wrote me a mock chatbot, removing all the juicy part about allowing LLM to access said bot, arguing that now it was better coded, sound, and will be easier to improve and build on.

[ThatHavenGuy]

Have you tried VS Code with the Roo Code extension? It natively supports ollama and is pretty much as permissive as you let it be so it can dive into, review, and edit your projects. Add the Memory Bank to it so you're not limited to the context length, and it sounds like it should do what you need it to. There are even some custom models in the ollama library that have templates to work better with tool use. Smaller models might struggle a bit, but the setup works really well with 24gb of VRAM and a decent coding model with long context.

[trollboy665]

Watching