Sentry has developed an AI debugger called Seer, which uses tracing to provide deeper insights into distributed systems and improve debugging capabilities. Tracing captures the flow of requests through an application and its services, providing a detailed picture of how data moves and where potential issues arise. This allows Seer to analyze problems across projects and repositories at great speeds, autonomously debugging complex issues in real-world scenarios. With tracing, Seer can now understand connected errors, view spans contained within transactions, and reproduce bugs using CPU profiles. By integrating with Sentry's existing contexts such as stack traces, breadcrumbs, HTTP requests, and more, Seer has become a powerful assistant in debugging production systems with AI capabilities.