Sentry on The Pragmatic Engineer Podcast

This episode is brought to you by Sentry. Sentry is a tool I use for application monitoring back when I worked at Uber, and I now use it on all my projects, including the Pragmatic Engineering backend. One new feature I'm really liking about Sentry is their SEER AI agent, which helps investigate production errors. For example, here's an actual error I had in my application. I can just ask here what might be the root cause, and it brings context, and it can also make a plan to fix it, all from the web interface. Oh, and it also works in Slack as well, not just the web. One place that I find even more handy to use Sentry is from codex or clock code using Sentry MCP. After you hook up the MCP server, you can do some very useful things. For example, when an already resolved Sentry is your resurfaces, you can kick off an agent to investigate the regression, read the relevant code, and open a PR with a suggested fix. There's a little work involved to get all this going. You need to connect Sentry to your code repository, add Sentry MCB to a cursor, define the instruction for cursor's agent to investigate, configure the trigger that launches the automation, and test that it all works. But once you have it up and running, you can get regressions fixed faster while still reviewing every and all fixes. I'm not a fan of using AI tools just for the sake of it, but I really like the practical integrations where I can fix errors faster and with more context. Check out Sentry at sentry.io slash pragmatic and start monitoring and fixing regressions today.