Context engineering is the design and selection of the information supplied to an AI model for a given task. It includes choosing, structuring, retrieving, compressing, and ordering context so the model can produce more accurate and useful outputs.
Context engineering is the process of dynamically selecting the most relevant information (tokens) for a given request to maximize the probability of receiving a valuable outcome.