Telemetry-aware AI agents that act in Slack, Linear, and GitHub, without your production data leaving your cloud

​Most AI observability assumes you'll ship your telemetry to a vendor's cloud so their model can reason over it. If your data is sensitive or high-volume, that's a non-starter. So we did it the other way around: the agent runs where the data already lives.

​We're building groundcover, and we're spending an evening in SF showing how the new expansion to Agent Mode actually works. The short version: agents that read live production telemetry and act across your dev toolchain (Slack, Linear, GitHub) through remote MCP connectors, every action attributable to a specific user.

​The main event is a live demo. We trigger a real anomaly on stage, Agent Mode ingests the telemetry, isolates the cause, and spins up an agentic workflow that opens a patch through GitHub. No recorded run, no slideware.

​We'll also walk through how custom Skills map LLM-driven logic to a real infrastructure runbook, and how MCP authorization keeps every agent action tied to a user and fully revocable, all inside your own cloud under BYOC.

​Food, drinks, and time to talk. The deep architecture questions, we'll connect you straight to the team that built it.

​Time & Date: June 30, 2026
Location: Mindspace, 575b Market Street, 4th floor

• ​Doors open 5:30pm

• ​Networking: 5:30pm - 6:30pm

• ​Speaker One: 6:30pm - 6:50pm

• ​Speaker Two: Jimmy Herbert, Community Solution Architect: 6:50pm - 7:30pm

• ​Networking: 7:30pm - 8:00pm