Operations | Monitoring | ITSM | DevOps | Cloud

Prod is down, the errors feed is on fire, and your code is to blame. You’ve got the info you need to debug, but it would’ve been nice to have before you shipped this mess. In this workshop, we’ll do a complete walkthrough of Sentry’s new AI code review features. This workshop will cover: How Sentry predicts errors to save you from shipping high-impact bugs Using Ai-powered PR review instead of making your teammates search for every typo Getting AI-generated unit tests that cover your changes and catch potential issues.

In this hands-on workshop, we’ll show you how to connect the dots between slowdowns, crashes, and the user experience in your React Native app.

Join Serge and Ben to learn more about Web Vitals, lab data vs real user metrics and how Seer can help fix your Web Vitals.

Wouldn't that issues list be a little less intimidating if you had some help from Sentry? We're shipping our Sentry Agent for Linear, and you can use it to call Seer and get Root Cause Analysis and Solutions back. Check it out!

The JavaScript SDK team has been cooking hard lately. In this video I'll show you all the browser tracing improvements the team has shipped recently.

​It turns out, Sentry does A LOT these days. Errors, Logs, Replays, Traces, and even Agent and MCP monitoring… but all this observability works better with a good foundation. We’re going to step back to 0, and show you how to build a “not bad” Sentry implementation from the ground up.

​Whether you’re building agents in your applications, or standing up an MCP server because its the new cool thing, working with AI is just different. Trying to figure out why it does the weird things it does is hard.