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Read the original: Ahead of AI (Sebastian Raschka)· Published 37/100AI score37/100

Local Coding Agents: Setting Up Qwen3.6 with Open-Source Harnesses

Original titleUsing Local Coding Agents

AISummary

Sebastian Raschka's tutorial shows how to build a fully local coding agent by pairing an open-weight LLM served through an inference runtime with an open-source harness that can read files, edit code, and run commands.

He recommends Qwen-Code for Qwen3.6, citing Nvidia's Polar paper, which found Qwen models performed best in Qwen-Code. The Qwen3.6 35B-A3B model is about 22 GB to download and needs roughly 30–40 GB of RAM.

Read the original magazine.sebastianraschka.com

Source: Ahead of AI (Sebastian Raschka) · magazine.sebastianraschka.comPublished · added here