<?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/a4aa9ecb655844528b2f6c849c7fd17c&quot; frameborder=&quot;0&quot; width=&quot;1108&quot; height=&quot;831&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>831</height><width>1108</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>831</thumbnail_height><thumbnail_width>1108</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/a4aa9ecb655844528b2f6c849c7fd17c-01e2e25086b480b1.gif</thumbnail_url><duration>123.676</duration><title>Leveraging AI for Enhanced Product Development and Collaboration</title><description>In this video, I discuss how Cloud Code has transformed our engineering and product management processes. I built a tool called velocity, which leverages AI to measure performance and generate code based on engagement metrics from platforms like Amplitude and Slack. The top recommendation it provided was to export and share agent recommendations using the highest-rise frameworks. I also demonstrated how I created a PRD and a linear issue for this initiative, which is now running in our Daytona Sandbox with four dedicated agents. I encourage you to review the PRD and provide any feedback.</description></oembed>