Multi-Agent System Promises Faster Bug Detection And Resolution
devops.com, December 9,2025
IT outages cost companies over $14,000 per minute. IBM Research's Project ALICE uses multiple AI agents to help engineers find bugs faster and restore systems.
Software bugs are expensive. When a critical system goes down, every minute of downtime costs revenue, frustrates customers, and strains engineering teams scrambling to find the problem.
The challenge isn't just fixing bugs. It's finding them in the first place.
Modern cloud systems are complex, with layers of interconnected software spanning dozens of microservices. A slight change in one part of the stack can cascade into a significant incident affecting thousands of customers. Engineers often spend hours, sometimes days, sifting through logs, metrics, and traces to pinpoint the root cause.
Project ALICE, a new experimental system from IBM Research, aims to change that. Short for 'Agentic Logic for Incident and Codebug Elimination,' it's a multi-agent system that automates the detective work of tracking down software bugs.