KaudDoc is an AI-powered root cause analysis platform. It investigates your entire repository to find the actual root cause of software failures — with a traceable evidence chain for every finding.
I built KaudDoc around a problem I kept seeing in software debugging: the error you see is often not the reason the system actually failed.
KaudDoc investigates the codebase and connects the available evidence to trace a failure back to its likely root cause.
The goal is simple: spend less time asking “what broke?” and more time understanding “why did it break?”
I’d love feedback from developers and engineers who regularly investigate difficult bugs or production failures.
What usually takes you the most time when tracking down a root cause?