Sign inGet started
Paper · arXiv

FixItFlow: Automated Troubleshooting Guide Generation from Cloud Incidents

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engineers respond consistently, but creating them manually is labor-intensive, resulting in incomplete coverage and outdated documentation. We present FixItFlow, an automated system that generates troubleshooting guides from historical incident data using large language models. The system extracts diagnostic patterns from engineer actions, synthesizes structured guides with verified commands, and enforces strict validation to prevent fabricated content. In our evaluation with 26 engineers, generated guides achieved 61.5\% positive ratings for clarity and demonstrated a 2.3...

AuthorsSrihari Unnikrishnan, Jaskaran Singh Walia, Drishti Goel et al.
Primary categorycs.CL
Published3 May 2026
Last updated at source3 May 2026
cs.CLcs.AIcs.LGcs.SE
Embed this entry
<iframe src="https://silytics.si/embed/item/bf668aa8-9539-46e9-a51a-89fd071a3db4" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.