ChaosEater introduces the first fully-automated chaos engineering framework leveraging large language models to identify, execute, and remediate system failures.

• Eliminates manual experiment definition by using LLMs to analyze system architecture
• Autonomously executes failure scenarios and monitors system responses
• Automatically generates infrastructure-as-code remediation for Kubernetes environments
• Demonstrates improved system resilience with minimal human intervention

This breakthrough matters for engineering teams by dramatically reducing the expertise and effort needed to implement chaos engineering practices, enabling organizations to build more resilient distributed systems at scale.

ChaosEater: Fully Automating Chaos Engineering with Large Language Models