Operations | Monitoring | ITSM | DevOps | Cloud

As fast as AI can generate code, getting that code to production still tends to slow things down. It makes sense. When code breaks in production it’s not just a nuisance; it’s a full-blown incident. And can have big impacts for your company and customers. The question really is, can you catch broken code as quickly as you can ship it? In this livestream, Peter McCarron, Technical Product Marketing at Sentry, is joined by Tom Totenberg, Head of Release Automation at LaunchDarkly, to talk about how you can automatically protect new releases from code merge to error detection.

Welcome to HotFix, the show where Sentry customers return the favor. We helped Golden State fix their code. Now, it's their turn to fix our CEO’s jump shot.

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.

Tracing does a lot more than help you monitor performance. It's what ties errors, logs, and session replay together in Sentry, so you, and your agents actually know what happened. It's included in every Sentry plan.

Sentry brings errors, logs, replays, spans, and metrics together to find and fix the worst issues in your application.

Join us for a hands-on workshop where we go deep on structured logging: what to capture, how to structure it, and how to stay informed so your next incident has a paper trail.

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.

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.

You already have every error, trace, log, and replay in Sentry. Now let Seer, our agent debugger, do its thing: use that context to find what broke, why it broke, and how to fix it.

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.