<?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/32bd23d355d9438587d55d7a87b58ed1&quot; frameborder=&quot;0&quot; width=&quot;1672&quot; height=&quot;1254&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1254</height><width>1672</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1254</thumbnail_height><thumbnail_width>1672</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/32bd23d355d9438587d55d7a87b58ed1-82c2eb60d8dcbee8.gif</thumbnail_url><duration>327.8049</duration><title>Enhancing Code Quality with AI 🚀</title><description>In this video, I discuss how we can leverage AI to run scripts that validate and improve the code generated by AI itself. I share examples of tools like unit tests and Lizard that help maintain code quality by providing feedback and making necessary adjustments. I also demonstrate a practical example of running tests and fixing issues in real-time. Please take a moment to think about how you can implement these tools in your workflow.</description></oembed>