Beyond Prompts: Context Engineering as the Foundation for Production AI Systems

While prompt engineering teaches developers to write clear instructions, it fails to address the architectural challenges that break production AI systems: managing conversation history, token budgets, and retrieved data within finite context windows. Context engineering—a discipline that emerged in 2025 to describe deliberate management of everything a model sees—separates viable agents from unreliable demos. This approach treats context as a finite resource requiring strategic design across system instructions, memory, current tasks, and output formats.