{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/e7fd332ad1d74409828341c1c800c614\" frameborder=\"0\" width=\"1732\" height=\"1299\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1299,"width":1732,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1299,"thumbnail_width":1732,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/e7fd332ad1d74409828341c1c800c614-2a2bb6c9aa19345d.gif","duration":272.794,"title":"Managing Changes from Multiple AI Agents","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."}