From Prompt Engineering to Agent Engineering: Building Production-Ready AI Systems

2026-04-14 · Industry Analysis

In this video, Bri Kopecki argues that the era of “prompt engineering” as a standalone discipline is ending. While prompts remain important, production-ready AI agents require a broader systems approach she calls agent engineering. Rather than optimising isolated model outputs, successful AI systems must integrate retrieval, tools, APIs, memory, and safeguards into a coherent architecture. Kopecki outlines seven core capabilities—ranging from system design and retrieval engineering to reliability, security, and product thinking—positioning AI development as a full-stack engineering discipline. The central message is that real-world AI success depends less on clever prompts and more on building robust, observable, and trustworthy systems.