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在笔记本上完全离线运行编程智能体

AI 总结

教程演示了在 Mac 上使用 OpenCode 1.19.4,并通过 Ollama 在本地运行 Qwen3.5 9B。下载模型、依赖和配置后,作者断开互联网,让编程智能体读取本地文件、进行修改并成功运行原始测试。教程建议采用聚焦的任务、明确指定测试命令、审查代码改动、独立运行测试并关注内存压力。原文指出,安装软件包和访问网页仍需联网,而这一示例不能证明该方案在大型代码库或陌生框架上的表现。

深度见解

这项实操演示表明,当模型、依赖和测试工具已保存在笔记本上时,编程智能体可以通过本地运行的开放权重模型在断网后修改代码并执行检查。

When we talk about working remotely, we take a lot of things for granted, especially reliable internet and power. But sometimes, working remotely means trying to get something done on a flight, during a long train ride, or somewhere with little or no network.

I moved to the foothills of the Himalayas a year ago. I love the peace of living here, but it also comes with its own challenges, including network and power outages. Things I didn’t think about as much before are now part of planning my work.

I work as a Principal Engineer at Thomson Reuters, where I spend most of my time coding and reviewing my teammates’ code. Coding agents are already a big part of my everyday workflow, which made me curious about how much of that workflow I could keep using offline.

#OpenCode 1.19.4#Ollama#Qwen3.5 9B#Aider

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