About This Session
When a critical service goes down at 2 AM, every second counts. But traditional incident response is a maze of manual steps: hunting through logs, correlating GitHub commits, pinging teams on Slack, and piecing together timelines while customers are impacted. At Slack, we solved this by building AI agents that think like our best senior engineers, but work at machine speed. Using custom MCP tools integrated directly into Cursor, our system transforms a simple incident alert into a complete investigation: automatically surfacing relevant logs, identifying suspect commits, mapping blast radius, and even drafting incident communications. This production-grade automation is already saving our team multiple hours per week and dramatically improving our escal response. This session will be useful for anyone building developer productivity tools who wants to see AI deliver measurable operational impact.
Topics
- AI Models
- Large Language Models (LLMs)