Context Engineering is evolving beyond prompt engineering, focusing on providing AI models with comprehensive, dynamic information needed for tasks. It involves integrating various elements like system prompts, conversation history, long-term memory, and tools, making AI agents more effective by ensuring they have the right context at the right time.