MacBook m4 pro for coding llm

Reddit r/LocalLLaMA / 3/29/2026

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The post asks whether an M4 Pro MacBook with 48GB RAM is a worthwhile setup for experimenting with local LLMs for coding.
The author considers specific code-focused models (e.g., Qwen3-Coder 30B, Qwen3.5 27B, and Qwen2.5-Coder 7B) and wonders what local use would realistically enable.
It discusses using the continuous.dev extension and seeks practical benefits beyond concerns about sending proprietary work to public LLMs.
The author compares the value of local inference versus $20 subscription services and questions whether paid cloud access is likely to be superior.
Overall, the thread is centered on cost/benefit and workflow implications for developers evaluating local LLM coding support.

Hello,

Haven’t been working with local llms for long time.

Currently I have m4 pro with 48gb memory.

It is really worth to try with local llms? All I can is probably qwen3-coder:30b or qwen3.5:27b without thinking and qwen2.5-coder-7b for auto suggestions.

Do you think it is worth to play with it using continuous.dev extension? Any benefits except: “my super innovative application that will never be published can’t be send to public llm”?

Wouldn’t 20$ subscriptions won’t be better than local?

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