Operations | Monitoring | ITSM | DevOps | Cloud

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Seer, Sentry's AI 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 and how to set it up in just a couple steps.

Join us for a conversational workshop with Simon Grimm, creator of Galaxies.dev and solo developer behind Tiny Harvest, as he shares how he monitors and debugs a real, live React Native app in production.

This 3-part workshop series covers everything already included in your Sentry subscription and how to actually use it.

Your AI agent just did something unexpected. Was it a hallucination? A bad tool call? Or did it actually handle things correctly? Sentry Conversations lets you replay the full exchange and find out.

Next.js applications can be challenging to debug in production. It’s not always clear where an issue originated or how it impacts users. Hydration errors, server component failures, and performance bottlenecks don’t always come with clear answers.

In this workshop, Paul Jaffre will show you how to query Sentry’s telemetry using natural language with Seer Agent.

Sentry already alerts your team in Slack, but with Seer, you can investigate and fix issues without ever leaving. It's like having the Sentry MCP server living right in your Slack channel. See how the Seer Agent (now in open beta!) and actionable alert messages turn your Slack channel into a debugging workflow.

XcodeBuildMCP gives AI agents the ability to build, test, and debug native iOS and macOS apps. In this hands-on workshop, we show you how to use the open source MCP server to unlock the full developer loop — build, run, debug, interact, and verify — without leaving your preferred AI coding environment.

In this workshop, we’ll show you how to use Sentry Agent Monitoring to crack open the black box that is AI — inputs and outputs, token usage, model performance — so you actually know what the robots in your application are doing.