<?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/07e3edb785414161a33fd9cc94dd16d8&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/07e3edb785414161a33fd9cc94dd16d8-5bab9d7631565924.gif</thumbnail_url><duration>442.6785</duration><title>Exploring AI Insights in Linear B</title><description>In this video, I introduced you to our new AI Insights feature in Linear B, showcasing the AI Insights dashboard and its capabilities over the last 30 days. We explored various metrics, including PR issues related to scope, security, maintainability, and readability, as well as the adoption of AI tools like Copilot and Cursor across our repositories. Notably, AI is currently touching 216 repos, while 161 have no AI rules files, indicating areas for improvement. I encourage you to review the documentation linked below for a deeper understanding of these metrics and consider how we can enhance our AI initiatives moving forward.</description></oembed>