Operations | Monitoring | ITSM | DevOps | Cloud

Debug AI agents wherever they run, from Slack bots to code review with Sentry's Agent Tracing

Agent Tracing shows the full execution path of an AI agent: the model call, every tool invocation and its arguments, token counts, cost, and the span where it broke. Same traces and spans you already use, with agent-specific attributes on top. Serge walks through three apps — a Next.js e-commerce agent using the AI SDK with a failing tool call, a Slack bot built with Eve that orders lunch, and a code review agent built with Flue over MCP.

Incident Review with Factory / Sentry

Learn how to user agents to turn Slack alerts into autonomous RCA sessions, build incident memory, and help on-call engineers move from signal to fix faster. ​Join us for the live stream demo of Incident Response. We will break things on stream and let agents fix them. We will watch Droid run a real incident from alert to fix, and we show exactly what it read to get there.

Sentry + GitHub Copilot Agents

Seer, Sentry's agent debugger, analyzes your issues and finds the root cause. Now you can pass that analysis directly to a GitHub Copilot agent which picks up the context, generates a fix, and opens a pull request. The agent session and PR both live on GitHub, with a link back in Sentry for easy access. This video walks through how the integration works.

Session Replay: Reproducible User Sessions

See what your users see. Don't try and guess what happened, watch it. Session Replay is a feature for Mobile and Web apps on Sentry to record user sessions as reproducible sessions. These are not videos. On web, a session replay contains the entire DOM reconstruction and DevTools. It's exactly like inspecting in Chrome DevTools locally on your machine, but in a real production session.

Sentry + GitHub Copilot: Let Agents Find and Fix Your Errors

Andrea Griffiths is a Senior Developer Advocate at GitHub. She uses Sentry to monitor the Python scripts behind GitHub’s community streams, because when those pipelines fail, nobody knows until users start complaining. GitHub and Sentry built a loop that fixes that. Sentry catches the error, Seer diagnoses it, and Copilot drafts the fix. No one has to be in the middle of it. In this session, Paul Jaffre (Developer Experience at Sentry) breaks down what Seer is, then he and Andrea break a real script live and watch the loop catch it, diagnose it, and open the fix as a pull request.