How to Build a Lightweight Local Coding Agent in Under 100 Lines
Developers can build a minimal, self-contained coding agent that runs entirely on a local machine without cloud APIs or heavy dependencies. The setup relies on a small language model of 7 billion parameters or fewer, such as CodeGemma 2B or TinyLlama 1.1B, quantized to 4-bit precision using tools like llama.cpp to reduce memory usage. A file watcher monitors code changes and triggers the model via a structured prompt template designed to keep responses focused and concise. The agent loads the model at startup, manages incoming file events through a queue, and streams output to a CLI or editor plugin. This approach gives developers full control over behavior, eliminates vendor lock-in, and keeps resource usage predictable on standard hardware.
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