<?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/3b0766fa0e3340c1b51c9dfddc8f6fcc&quot; frameborder=&quot;0&quot; width=&quot;1652&quot; height=&quot;1239&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1239</height><width>1652</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1239</thumbnail_height><thumbnail_width>1652</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/3b0766fa0e3340c1b51c9dfddc8f6fcc-c33dac3bee932947.gif</thumbnail_url><duration>1697.4225</duration><title>Multi-Agent AI Patterns Demystified (+ o1-preview&apos;s code review prowess)</title><description>I delve into the power of multi-agent patterns and the significance of agentic AI in surpassing limitations. Exploring the concept of collaborative agents and the advancements brought by multi-agent GPT-4, I discuss strategies to enhance task complexity and performance. Demonstrating the separation of tasks into distinct agents for improved efficiency, I showcase the impact on code agents and the benefits of a supervisor pattern. The video concludes with a successful code review process leveraging AI insights for refined code quality.</description></oembed>