OtherARTICLEUsing Local Coding Agents
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Many people reached out to me in the past asking about my local agent stack as well as how I set up my local agent stack. So, I thought it might be useful to put together a little tutorial on how to set up a local (coding) agent using open-source tools and open-weight LLMs. Figure 1: Overview of the local stack, that is, a coding agent harness that uses a local model hosted through an inference engine / runtime server. This article is a tutorial on setting up a production-ready coding agent with
Why it made the leaderboard
Most agent tutorials assume you're piping code to a frontier API; Raschka instead wires up the whole loop locally — open-weight models served through an inference runtime, driving a real coding agent harness. If you care about keeping code off third-party servers, cutting API bills, or just understanding how the harness-to-model plumbing actually fits together, this walks you through a working stack you can stand up yourself.
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