<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/547415955cb044e7b03edcd0cd00aa18&quot; frameborder=&quot;0&quot; width=&quot;1440&quot; height=&quot;1080&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1080</height><width>1440</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1080</thumbnail_height><thumbnail_width>1440</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/547415955cb044e7b03edcd0cd00aa18-1709585018892.gif</thumbnail_url><duration>298.685</duration><title>TinyGen: AI-powered GitHub Repository Assistant 👩‍💻</title><description>Hey there! In this video, I introduce you to TinyGen, an LLM agent that can suggest code-changes for your GitHub repositories. Whether you need help with feature additions, bug fixes, or implementation guidance, TinyGen is here to assist you. I explain the two models available: TinyGen 1.0, perfect for modifying one file in small repos, and TinyGen 2.0, capable of handling repositories of any size with multiple file modifications. I demonstrate how to use TinyGen with a sample project and show you the magic it can do. So, let&apos;s dive in and explore the power of TinyGen together!</description></oembed>