In this article, you will learn how prompt engineering changes fundamentally when applied to agentic AI systems, and what principles and patterns enable reliable agent behavior at scale.
Topics we will cover include:
Why prompting agents differs from prompting chatbots, and what context engineering means in practice.
The four components every agent prompt needs, including system prompts, tools, examples, and context state management.
The reasoning architectures that make agents more reliable, from chain of thought to ReAct and Reflexion.
