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Data · magazine.sebastianraschka.com · Sunday, 28 June 2026

Build a Free, Private Coding Agent with Open‑Weight LLMs

Sebastian Raschka shows how to build a fully local coding agent using open-weight LLMs and a custom harness, sidestepping costly subscriptions to Claude Code or OpenAI Codex. The tutorial outlines hardware, model choices, and a production-ready workflow, proving that privacy‑first, cost‑predictable AI coding is now practical for developers.

Read the source: magazine.sebastianraschka.com ↗In the 28 June issue →