Using Local Coding Agents

Ahead of AI · 2 weeks ago

A tutorial explains how to set up a local coding agent using open-source tools and open-weight LLMs like Qwen3.6 35B-A3B, with Ollama as the model serving engine and Qwen-Code as the harness. The Qwen3.6 35B-A3B model requires approximately 30-40 GB of RAM and achieves strong performance on code generation benchmarks compared to alternatives like North Mini Code. Users can evaluate local setup performance using speed benchmarking scripts and avoid vendor lock-in with proprietary services like OpenAI Codex or Anthropic Claude Code.