<?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/1d60f5c022ea430b93e28cf569d9e2eb&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/1d60f5c022ea430b93e28cf569d9e2eb-3c8eea480dad7567.gif</thumbnail_url><duration>58.063</duration><title>Collaborative Development Insights and Feature Extraction</title><description>In this video, I introduce our new coding tool that retrieves context from GitHub, images, and documents, allowing us to generate collaborative suggestions. Once we approve these suggestions, they will be compiled into a PRD, and we will extract the necessary features for development. We are also ensuring that we consider all technical specifications to meet the expectations of our dev and dev ops teams. I encourage everyone to engage with this process and provide feedback on the suggestions as we move forward. Your input is crucial for the success of this pilot project.</description></oembed>