How I Built a Fully Local AI Coding Agent with Qwen 3.8, LM Studio, and Pi (No Paid APIs)
What if you could have an AI coding agent that reads your files, writes code, executes commands, and fixes errors without sending a single model request to the cloud? No OpenAI API. No Anthropic API. No per-token billing. Just an open-weight AI model running on your own hardware. I recently decided to test exactly how practical this setup has become. Using Qwen 3.8 27B, LM Studio, and Pi Coding…
The core components of this setup include the Qwen 3.8 27B language model, LM Studio, and the Pi Coding Agent. Qwen 3.8 27B serves as the brain, providing the language model responsible for understanding instructions and generating code. LM Studio simplifies running open-weight AI models locally by offering a user-friendly desktop application where models can be discovered, loaded, and communicated with through an OpenAI-compatible API.
Pi Coding Agent acts as the hands, enabling the model to interact with the development environment by inspecting project files, modifying code, and executing terminal commands.
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