<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Code Completion on SoloSoft</title><link>https://www.solosoft.dev/tags/code-completion/</link><description>Recent content in Code Completion on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/code-completion/index.xml" rel="self" type="application/rss+xml"/><item><title>Twinny: Local LLM Inference for VS Code</title><link>https://www.solosoft.dev/post/twinny-local-llm-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/twinny-local-llm-2026/</guid><description>&lt;p&gt;The tension between cloud-dependent AI tools and developer privacy has become one of the defining debates in AI-assisted software development. Services like GitHub Copilot and Cursor offer impressive code completion capabilities, but they require sending your code to external servers. For developers working on proprietary code, in regulated industries, or simply preferring not to share their work product with cloud services, this is a non-starter. The answer is local AI, and Twinny is one of the best ways to access it.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Twinny&lt;/strong&gt; is a free, open-source VS Code extension that brings local LLM inference directly into your editor. It connects to Ollama &amp;ndash; the popular local model runner &amp;ndash; and provides AI code completion and chat assistance without any data ever leaving your machine. No subscription, no rate limits, no cloud dependency. Just a local model running on your hardware, integrated into your development workflow.&lt;/p&gt;</description></item></channel></rss>