{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/dc2251f3f0904caa9fc80fd8f2874cec\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/dc2251f3f0904caa9fc80fd8f2874cec-d050c9ee6c742c90.gif","duration":290.49,"title":"Loom Message - 11 November 2025","description":"Context Engine – AI-Driven DevOps Intelligence System\nby Sainath Mitalakar\n\nThis walkthrough introduces Context Engine, an open innovation project built to redefine how DevOps intelligence works.\nIt’s an AI-driven system that brings context, awareness, and storytelling into engineering workflows — analyzing commits, workflows, and developer patterns to explain how your code evolves, who contributed, and how your pipelines responded.\n\n🔍 Key Highlights:\n\nReal-time commit & workflow intelligence\n\nPredictive learning on engineering patterns\n\nCLI-based insights for any GitHub repository\n\nMemory engine that tracks and learns changes\n\nLightweight Python system using GitHub REST API\n\nVision:\nTo build DevOps systems that don’t just automate — but understand.\nContext Engine is where code meets cognition — a self-learning DevOps companion that tells the story behind every line of code.\n\nlink to project :- https://github.com/sainathmitalakar/context-engine\nfollow me on Linkinedin :- https://www.linkedin.com/in/sainathmitalakar/"}