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March 18, 202614:35

Local AI Coding on MacBook Air M5

By Samuel Gregory

About this video

Download Kilo Code: https://kilo.codes/LXa5QNm The MacBook M5 Air is a lie if you think it can fully replace your cloud AI workflow. I maxed out the specs with 32GB of RAM to see if 'vibe coding' with local LLMs is actually viable for professional developers. Key Takeaways: - 32GB of unified memory is the absolute minimum requirement for running capable local models like Qwen 2.5. - The fanless design of the Air handles AI workloads surprisingly well, though it does get quite toasty under pressure. - Context length remains the biggest hurdle for local coding; 32k tokens is often not enough for large codebases. - For simple file generation, the M5 Air is incredibly fast, but it still lacks the logic of frontier models like Anthropic Opus. - Local AI offers privacy and no subscription costs, but you sacrifice the 'flow state' speed of the cloud.