{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/0713fc7e8f3d4b05b650968d1a68b035\" frameborder=\"0\" width=\"1668\" height=\"1251\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1251,"width":1668,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1251,"thumbnail_width":1668,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/0713fc7e8f3d4b05b650968d1a68b035-0dae88312dfa62f6.gif","duration":84.842667,"title":"Autonomous Agent Automatically Fixes Production Errors","description":"This Loom explains an autonomous self-improving agent that monitors code outside your repo, detects errors, and patches them without human intervention. The presenters, Beck and Akeem, simulate production traffic to show the agent noticing issues and automatically applying fixes, including patching headers and validating them with a second pass using a “subquadratic model.” They emphasize the real-world cost of repeatedly fixing persistent errors manually. The demonstration shows the agent fixing problems and then continuing to operate as traffic and monitoring continue."}