Sebastian Raschka
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Using Local Coding Agents

A walkthrough on setting up local coding agents using open-weight LLMs, covering how to connect a local LLM to a coding harness like Claude Code or Codex. Includes a practical checklist for evaluating models: RAM usage at long contexts, prefill/decoding speed, tool-calling capabilities, security auditing of the agent framework, and performance on challenging coding tasks. The setup is designed to stay flexible so users can swap in newer models or fall back to cloud models as needed.

    #llm#ai-agents#claude-code#local-ai
Jul 06•2m read time•From sebastianraschka.com
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Sebastian Raschka

Sebastian Raschka's Blog offers insights, tutorials, and research updates on machine learning, deep ...

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