In modern software architecture, “AI agent” can mean an autonomous, intelligent component, not necessarily a machine-learning model. In this guide, we focus on building smart, event-driven, and rule-based agents that react to events, apply rules, and coordinate tasks without any machine learning. The goal is to design systems that are resilient, scalable, and maintainable, using tried-and-true patterns instead of AI complexity.
Event-Driven Agents: Core Principles
Event-driven architecture (EDA) is a design model where components communicate by producing and responding to events. In contrast to a traditional request/response model, where one component waits on another, an event-driven system allows asynchronous, real-time communication between decoupled components. The key idea is that when something of interest happens (an event), the system notifies all parts that subscribe to that event, letting them react immediately.