Raygun is an application monitoring and error tracking platform that uses AI to show how users actually experience your product. It collects crash reports, performance data, and user session details so teams can find and fix critical issues faster.
AI-assisted error debugging
Raygun includes AI Error Resolution, which prepares prompts for your chosen LLM using context from stack traces, environment details, and affected code. This helps developers get actionable guidance for resolving errors.
Web and mobile monitoring
Raygun supports both web and mobile apps with real-time error tracking and visibility into how issues affect end users. This makes it easier for engineering and product teams to focus on the bugs that truly block users and prioritize work based on data.
Built for faster triage
Raygun helps reduce time spent diagnosing problems, lowers the risk of missed crashes, and improves product stability. Integrations with common stacks and development tools make setup quicker and day-to-day incident handling more predictable.
