Why Agentic AI Demands Intent-Based Chaos Engineering

Chaos engineering transformed modern reliability practices. Instead of waiting for systems to fail in production, we began deliberately injecting failure into distributed architectures to observe how they behaved under stress. The philosophy was simple: resilience cannot be assumed; it must be tested. For stateless microservices and horizontally scaled cloud systems, this approach worked remarkably well. Random instance termination, injected latency, and packet loss exposed weaknesses in infrastructure that traditional testing often missed. However, the systems we are building today are fundamentally different from those chaos engineering was originally designed to protect.