FixItFlow Automates Troubleshooting Guide Generation for Cloud Incidents

Srihari Unnikrishnan, Jaskaran Singh Walia, Drishti Goel, Supriyo Ghosh· July 16, 2026 View original

Summary

FixItFlow is an automated system that uses large language models to generate troubleshooting guides from historical cloud incident data. It extracts diagnostic patterns, synthesizes structured guides with verified commands, and enforces strict validation, leading to improved incident response times and reduced documentation burden.

This paper introduces FixItFlow, an automated system designed to streamline incident response in cloud services by generating troubleshooting guides. Cloud environments frequently experience incidents, demanding quick diagnosis and resolution. Manual creation of troubleshooting guides is often labor-intensive, resulting in incomplete or outdated documentation. FixItFlow addresses this by leveraging large language models to process historical incident data. The system works by extracting diagnostic patterns from past engineer actions and then synthesizing these into structured guides. These guides include verified commands and undergo strict validation to prevent the inclusion of fabricated or incorrect content. This automation significantly reduces the manual effort traditionally required for documentation. An evaluation involving 26 engineers demonstrated the system's effectiveness. Generated guides received positive ratings for clarity from 61.5% of engineers and were associated with a 2.3x reduction in mitigation time for incidents where they were used. These results highlight FixItFlow's potential to enhance incident response efficiency and alleviate the documentation workload for engineering teams.

Why it matters

For IT operations and engineering professionals, FixItFlow offers a significant improvement in incident response efficiency and a reduction in the manual burden of creating and maintaining troubleshooting documentation. This can lead to faster issue resolution, improved system uptime, and more consistent operational practices.

How to implement this in your domain

  1. 1Evaluate existing incident management systems for integration points with LLM-based guide generation tools.
  2. 2Pilot an automated troubleshooting guide generation system using historical incident data for a specific service.
  3. 3Establish a validation process for AI-generated guides to ensure accuracy and prevent hallucinations.
  4. 4Train engineering teams on how to leverage and contribute to an automated guide generation system.

Who benefits

IT OperationsCloud ComputingSoftware EngineeringDevOpsManaged Services

Key takeaways

  • LLMs can automate the generation of troubleshooting guides from historical incident data.
  • Automated guides improve incident response times and reduce documentation effort.
  • Strict validation is crucial to ensure the accuracy and reliability of AI-generated content.
  • FixItFlow demonstrated a 2.3x reduction in mitigation time for incidents.

Original post by Srihari Unnikrishnan, Jaskaran Singh Walia, Drishti Goel, Supriyo Ghosh

"arXiv:2607.13035v1 Announce Type: cross Abstract: Cloud services experience frequent incidents that require rapid diagnosis and resolution. Troubleshooting guides help engineers respond consistently, but creating them manually is labor-intensive, resulting in incomplete coverage…"

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Originally posted by Srihari Unnikrishnan, Jaskaran Singh Walia, Drishti Goel, Supriyo Ghosh on X · view source

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