<?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/62d8e7002eb849c4a8e167c55135cdf3&quot; frameborder=&quot;0&quot; width=&quot;1886&quot; height=&quot;1414&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1414</height><width>1886</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1414</thumbnail_height><thumbnail_width>1886</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/62d8e7002eb849c4a8e167c55135cdf3-a936876468838318.gif</thumbnail_url><duration>242.853</duration><title>Automating Production Issue Resolution with Stackpilot</title><description>In this video, I demonstrate how Stackpilot can automatically triage and resolve production issues, using a fake food review website as an example. When I trigger an error by submitting a 4-star review, Stackpilot immediately creates a ticket and begins an AI-driven investigation, leveraging connections like Google Cloud and GitHub to analyze the problem. Within just a couple of minutes, I receive a root cause analysis report along with a proposed fix, which I can easily merge to resolve the issue. I encourage you to explore how Stackpilot can streamline your debugging process and enhance your production reliability. Let&apos;s work together to make your systems more resilient!</description></oembed>