The article argues that traditional prompt engineering is becoming obsolete as AI models grow more sophisticated, shifting focus toward "context engineering" — the strategic design and management of input context to guide AI behavior effectively. Rather than crafting clever prompts, the emphasis is now on structuring and curating relevant contextual information that enables models to produce accurate, reliable, and aligned outputs. This approach treats context as a dynamic, structured resource rather than a static input.