Traditional error tracking often stops at logging stack traces, leaving engineering teams to manually piece together user sessions, reproduce issues, and locate the responsible code repositories. Flashduty reimagines this workflow by integrating Real-Time User Experience Monitoring (RUM) directly with AI-driven SRE automation.

Here is how Flashduty automatically resolves critical frontend errors in just 8 minutes:

1. Session & Error Capture: While a user was creating a monitoring rule, three consecutive frontend errors occurred. Flashduty’s RUM automatically captured the exact user session, application version, and unminified stack traces via SourceMaps.

2. AI-Driven Root Cause & Repo Location: Instead of just alerting the team, Flashduty’s AI SRE analyzed the session context and instantly identified the exact code repository and component causing the exception.

3. Automated Fix & PR Generation: The AI agent prepared a precise one-line fix, ran validation tests, and opened a Pull Request (PR) to the repository—completing the entire lifecycle from bug occurrence to fix submission in under 8 minutes without manual debugging intervention.

Key Takeaways for DevOps & SRE Teams

• Zero-Noise Alerting: Consolidate user-impacting errors into actionable contexts.

• SourceMap Precision: Seamlessly map production errors back to original source code.

• End-to-End Automation: Reduce MTTR from hours to minutes by letting AI handle root cause analysis and initial code fixes.

Read the full case study and technical details on our website:

👉 https://www.flashduty.com/en/now/blog/rum-ai-sre-8-minutes