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Context Development Lifecycle - Artificial Intelligence +
The document defines a four-stage context development lifecycle (generate, evaluate, distribute, observe) for AI context assets, treating prompts, memories, retrieved knowledge, and tool descriptions like software. It emphasizes testing, versioning, and governance to prevent context drift and regression, and notes the concept's origin and practical cost considerations.