Context engineering has evolved in the AI engineering field since mid-2025 with the introduction of patterns for managing context effectively. These patterns include progressive disclosure, compression, routing, retrieval strategies, and tool management, each addressing a different dimension of the context engineering problem. The discipline of context engineering involves finding the smallest possible set of high-signal tokens to maximize the likelihood of desired outcomes within an AI system.









