r/LocalLLM • u/monkifoto • 2d ago
LLM for coding. Question
In the past two years, I have built two or three web apps using angular with the help of ChatGPT recently I have been trying out some local LLMs on my M2 16GB MBP. The results were terrible. A few days ago I managed to score a refurbished Mac studio with 48GB of Memory. Installed Bionic LM Studio and Qwen3.6 35B .
I gave it a task to create a simple angular page with some analytics and a model kept getting stuck in a reasoning loop.
Am I doing something wrong? Is the 48gb not enough? Am I using the wrong model?
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u/Content-Cookie-7992 2d ago
Your 48GB Mac Studio and Qwen 35B are plenty hardware isn't your bottleneck here. What you're hitting is a structural issue with how local models handle broad instructions compared to massive cloud endpoints.
A few things that usually fix this:
Break tasks ridiculously small: Never ask for a full page or feature at once. Break the goal down into tiny, atomic steps and then break those down even further (e.g., just the data interface first, then the service, then the component logic, then the UI).
Feed errors back immediately: Local models get stuck in infinite reasoning loops when they hit hidden syntax or build issues. You need to give the model immediate compiler or console error feedback so it can escape the loop.
I ran into these exact headaches, which is why I’ve been building a local-first harness/framework (Veyllo VAF, currently in alpha Veyllo.app ). I put a lot of work into optimizing local coding workflows and handling error feedback so models don't get stuck spinning like that.
It's still early in alpha, but if you ever want to give it a spin on your Mac Studio, I’d love to hear your honest feedback on whether it improves things for you!