Operations | Monitoring | ITSM | DevOps | Cloud

User Feedback to Pull Request in Minutes with Cursor + Sentry

Cursor Automations + Sentry Triggers: go from user feedback to a pull request automatically. See how to set up an end-to-end workflow that turns feedback into code changes, posts the PR to Slack, and keeps your team in the loop. In this video, we walk through a real-world example using Sentry Docs. A user submits feedback through a widget on the docs site, it lands in Sentry as an issue, and when assigned, a Cursor Automation kicks off. The automation reads the feedback, validates it, generates a PR against the repo, and posts the link in the relevant Slack thread. No manual work required.

Sample AI traces at 100% without sampling everything

A little while ago, when agents were telling me “You’re absolutely right!”, I was building webvitals.com. You put in a URL, it kicks off an API request to a Next.js API route that invokes an agent with a few tools to scan it and provide AI generated suggestions to improve your… you guessed it… Web Vitals. Do we even care about these anymore?

From Insights to Dashboards: Customize Your Sentry Experience

You fixed all the errors. But the job's not done. If you're using tracing, logs, metrics, or other Sentry products, there's a wealth of performance data scattered across your application just waiting to be surfaced. In this video, we walk through the move from Insights to Dashboards: giving you full control over how you view, filter, and customize your monitoring setup. Here's what's covered: Check out Dashboards in your Sentry organization and let us know what you think!

Nothing But [Inter]net 2026 Highlights

​We put the internet’s loudest developers in one room at Chase Center. On purpose. Tune in for highlights from the event from: ​Wes Bos and Scott Tolinski: hosts of your favorite developer podcast, Syntax. Taught half of you how to actually use React. ​Teej and ThePrimeagen: sell coffee through the terminal, have over a million YouTube subscribers and even more opinions on memes.

AI agent observability: The developer's guide to agent monitoring

Most "agent observability best practices" content reads like a compliance checklist from 2019 with "AI" pasted over "microservices." Implement comprehensive logging. Establish evaluation metrics. Create governance frameworks. Not a single line of code. No mention of what happens when your agent silently picks the wrong tool on turn 3 and you need to figure out why.