Using Local Coding Agents

This article is a detailed tutorial by Sebastian Raschka on how to set up a production-ready local coding agent using open-weight language models and open-source tools. It explains the benefits of a local stack, including transparency, inspectability, cost savings, privacy, and full control. The tutorial covers using a locally served LLM as the reasoning engine combined with a coding harness that can read files, make edits, run commands, and verify changes. It compares this approach to proprietary services like GPT in Codex and Opus in Claude Code, making it ideal for developers interested in AI-assisted coding, local development environments, and open-source AI tools.