Unlock a next-level debugging workflow by combining Cursor AI with Sentry MCP. In this video, I walk through a real example of how AI can detect, analyze, and fix application issues with almost no manual effort.
You’ll see how Cursor uses Sentry’s MCP to instantly pull error data, summarize stack traces, propose fixes, and even validate code changes — turning you into a 10x faster debugger.
What You’ll Learn
- How Sentry MCP streams live error data directly into Cursor
- How Cursor AI analyzes stack traces and surfaces root causes
- How AI generates accurate, context-aware code fixes
- How to validate and test patches without leaving your IDE
- Why AI-driven debugging will replace traditional workflows
- Best practices for building an AI-powered engineering environment
Tools & Tech
- Cursor AI
- Sentry MCP
- JavaScript/TypeScript example (works with any language)
- Local/production debugging workflows
Why This Matters
AI is reshaping software engineering. Debugging that once took hours can now take minutes. If you want to reduce firefighting, ship more stable code, and elevate your engineering workflow, this video gives you the roadmap.
