Software agents to agentic AI
Software agents are autonomous digital entities that are designed to perceive their environment, reason about their goals, and act accordingly. Unlike traditional software programs that follow fixed logic, agents adapt their behavior based on contextual inputs and decision frameworks. This makes them ideal for dynamic, distributed environments such as cloud-native systems, robotics, intelligent automation, and now, generative AI orchestration.
This section introduces the core building blocks of software agents and explains how these components interact within traditional architectures based on the perceive, reason, act model. It discusses how generative AI, particularly large language models (LLMs), has transformed the way software agents reason and plan. This marks a fundamental shift from rule-based systems to the data-driven, learned intelligence of agentic AI.
In this section
