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    <title>Local LLM on The Photonsphere</title>
    <link>https://photonsphere.org/series/local-llm/</link>
    <description>Recent content in Local LLM on The Photonsphere</description>
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    <language>en</language>
    <managingEditor>website@photonsphere.org (Mari Donkers)</managingEditor>
    <webMaster>website@photonsphere.org (Mari Donkers)</webMaster>
    <copyright>Mari Donkers / Wikimedia Commons</copyright>
    <lastBuildDate>Wed, 14 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://photonsphere.org/series/local-llm/index.xml" rel="self" type="application/rss+xml" />
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      <title>Agentic coding on a laptop with Pi and a local LLM</title>
      <link>https://photonsphere.org/post/2026-10-14-pi-coder-local-llm/</link>
      <pubDate>Wed, 14 Oct 2026 00:00:00 +0000</pubDate>
      <author>website@photonsphere.org (Mari Donkers)</author>
      <guid>https://photonsphere.org/post/2026-10-14-pi-coder-local-llm/</guid>
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            &lt;p&gt;On my AMD Ryzen AI 9 HX 370 laptop, which has a Radeon 890M iGPU —
unified memory — I switched to using a local LLM for development,
replacing the cloud models I&#39;d normally reach for. The lean &lt;a href=&#34;https://pi.dev&#34;&gt;Pi coding
agent&lt;/a&gt; is also essential for this to work. If you&#39;ve
been wondering whether a local model can really do the job of building
a big application, here&#39;s what I found.&lt;/p&gt;
&lt;h1 id=&#34;the-setup&#34;&gt;The setup&lt;/h1&gt;
&lt;p&gt;The project I am working on is a distributed communication system,
split into two &lt;a href=&#34;https://rust-lang.org/&#34;&gt;Rust&lt;/a&gt; codebases:&lt;/p&gt;
          
          
        
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