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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, & 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 & 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, & 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, & how MCP authorization keeps every agent action tied to a user & fully revocable, all inside your own cloud under BYOC.
Food, drinks, & time to talk. The deep architecture questions, we'll connect you straight to the team that built it.
Time & Date: July 29, 2026
Location: Mindspace, 575 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
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