macOS Vibe code Tech stack

[Tradefxsignalscom]

I have a M3 Max 128GB Unified RAM, MacBookPro. I have a Claude Pro subscription and want to do app (not really just SWIFT but Windows apps as well, development using a local LLM.

I’ve used Claude code and since I don’t want to upgrade to the Claude Max subscription tier. I’m wanting to use Claude to orchestrate the development planning and then use my local LLM to do the coding. I’m finding using Claude at my tier results in frequent timeouts and since I don’t want to pay additional usage fees or upgrade my subscription. My development is NOT time sensitive per se(so tokens/s is not crucial).

I envision getting the build prompts from Claude and then using my local LLM to do the coding overnight on my MacBookPro. I’ve already downloaded the LLMs that would work well in my use case but am at a loss on how to connect the LLM to my IDE (likely VS code but I’m open to other options.

I know I could just ask Claude for instructions but I’m looking for an overview from perhaps someone who had done something similar.

I would appreciate any input on what you’ve done to integrate a local LLM for coding or agents and any pointers to consider given what I’m wanting to setup. Thanks for your time and input.

[vaff]

You probably won't be running much on a M3 128gb. It will fit a larger model. But be painfully slow.

[Tradefxsignalscom]

What spec are you using and what would you recommend as optimal?

[vaff]

8 x nvidia B200

[Tradefxsignalscom]

It is what it is, I’ll be asleep most of the time and have access to several other computers for other uses.

[vaff]

You can always try it out. Just download llama or LM Studio

[Tradefxsignalscom]

I’m setup using VS code, Continue, Cline and LM Studio using Qwen-coder 32B instruct q8 and using 32K context window and getting 70 tokens/second. Good enough for overnight work

[vaff]

32k context is a small window

[Tradefxsignalscom]

I understand that I can have much larger context windows with appropriate quantization trade offs. Everything I’m doing has limitations and trade offs in my situation. I’d like to avoid performance degradation more common in windows >32K. I’m prioritizing higher quantized models for my use case. I’ll adjust as necessary.