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    <title>DEV Community: alilo113</title>
    <description>The latest articles on DEV Community by alilo113 (@alilo113).</description>
    <link>https://dev.to/alilo113</link>
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      <title>How I Built a Lightweight, Local-First VS Code AI Assistant with Ollama</title>
      <dc:creator>alilo113</dc:creator>
      <pubDate>Sat, 10 Oct 2026 07:47:50 +0000</pubDate>
      <link>https://dev.to/alilo113/how-i-built-a-lightweight-local-first-vs-code-ai-assistant-with-ollama-3nlm</link>
      <guid>https://dev.to/alilo113/how-i-built-a-lightweight-local-first-vs-code-ai-assistant-with-ollama-3nlm</guid>
      <description>&lt;h2&gt;
  
  
  🚀 The Motivation
&lt;/h2&gt;

&lt;p&gt;Cloud AI coding assistants are convenient, but subscription fees add up and sending enterprise or personal codebases to external APIs isn't ideal for privacy. &lt;/p&gt;

&lt;p&gt;I wanted a simple, zero-cost, local-first alternative that integrates directly into VS Code and hooks straight into &lt;strong&gt;Ollama&lt;/strong&gt;. So, I built &lt;strong&gt;Echo&lt;/strong&gt;.&lt;/p&gt;




&lt;h2&gt;
  
  
  🛠️ How It Works Under the Hood
&lt;/h2&gt;

&lt;p&gt;To keep the MVP fast and reliable, the architecture is entirely decoupled from heavy frontend frameworks:&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;
&lt;strong&gt;Extension Host (TypeScript):&lt;/strong&gt; Listens for commands and sends direct HTTP requests to the local Ollama instance running at &lt;code&gt;http://localhost:11434&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Inline Completion Provider (TypeScript):&lt;/strong&gt; Hooks directly into VS Code's native inline completion API (&lt;code&gt;vscode.InlineCompletionItemProvider&lt;/code&gt;) to serve ghost-text suggestions as you type.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Distribution:&lt;/strong&gt; Packaged directly as a &lt;code&gt;.vsix&lt;/code&gt; binary via GitHub Releases for complete control.&lt;/li&gt;
&lt;/ol&gt;




&lt;h2&gt;
  
  
  ⚡ Current Challenges &amp;amp; What's Next
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Hardware Variability:&lt;/strong&gt; Users running different local models need smooth onboarding. My next step is adding automatic model detection via Ollama's API on startup.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Streamlined Workflow:&lt;/strong&gt; Refining how code snippets and prompts are handled directly inside the editor workflow.&lt;/li&gt;
&lt;/ul&gt;




&lt;h2&gt;
  
  
  📦 Try It Out
&lt;/h2&gt;

&lt;p&gt;Echo is available as an open-source MVP release on GitHub:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;GitHub Release:&lt;/strong&gt; &lt;a href="https://github.com/alilo113/echo-releases/releases" rel="noopener noreferrer"&gt;Download Echo MVP&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Requirements:&lt;/strong&gt; VS Code + &lt;a href="https://ollama.com/" rel="noopener noreferrer"&gt;Ollama&lt;/a&gt; running locally.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;I'd love feedback from fellow developers building local toolchains!&lt;/p&gt;

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      <category>vscode</category>
      <category>ai</category>
      <category>ollama</category>
      <category>javascript</category>
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