<?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/e7fd332ad1d74409828341c1c800c614&quot; frameborder=&quot;0&quot; width=&quot;1732&quot; height=&quot;1299&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1299</height><width>1732</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1299</thumbnail_height><thumbnail_width>1732</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/e7fd332ad1d74409828341c1c800c614-2a2bb6c9aa19345d.gif</thumbnail_url><duration>272.794</duration><title>Managing Changes from Multiple AI Agents</title><description>In this video, I walk you through managing changes from multiple AI agents in our to-do app, specifically focusing on the Expert to CSV button. We explore design options using ground agents, where one agent proposes a green design and the other a blue one. After some time, both agents complete their tasks, and their changes are synchronized to GitHub and our local machine. I demonstrate the final designs and decide to ship the green version as the main one. I encourage you to apply this approach in your own projects and consider using rebase in GitHub for similar tasks.</description></oembed>