Last month, we launched AI Code Review, our developer tool that automatically catches bugs, finds performance issues, and helps you ship PRs faster. 30 days later, here's what’s new.
The holiday season is here. Is your frontend ready for the traffic spike, or are you preparing for a debugging nightmare? In this live, hands-on workshop, we'll dive into the best practices for modern error and performance monitoring in Sentry. In this live hands on session, we’ll cover: Instrumenting Sentry and alert rules to surface and fix critical errors fast Optimizing site performance using Web Vitals like TTFB and LCP.
With the first major release of the Sentry Unreal SDK (now on v1.2.0, and you can also explore in our interactive sandbox), we’ve made some important improvements to support cross-platform Unreal developers when it comes to platform coverage, debugging with user feedback, and performance monitoring improvements. Here’s what’s new.
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.
Browser tracing has always been one of those things that feels invisible until it isn’t. When it works well, you get clear, actionable insights into how your app is performing in the wild. When it doesn’t, you’re left staring at noisy data, gaps in traces, and spans that don’t quite tell the story. Over the last few months, we’ve been chipping away at that problem.
I have begun to truly embrace vibe coding over the last few months, using Cursor as my main code editor and Claude Sonnet 4 for my agent's LLM. It's an exciting time as a developer, we get to experiment with something that promises to 100x our productivity while pioneering the new workflows and strategies for implementing these tools. But, as most people who have done any extensive development with LLMs in a sufficiently sized code base knows, it's a bit like trying to herd scared cats.