Agent Context Is Infrastructure, Not a Feature

You didn't specify servers. You declared intent. Kubernetes handled the placement, ensured the count, and automatically recovered from failures. That's the shift from imperative to declarative infrastructure. We made it for compute. We made it for storage. We made it for networking. We haven't made it for agent context yet. And that's the bottleneck. Most teams treat context—the state, memory, and awareness an AI agent maintains—as an application feature. Something you bolt on with a vector database and some session management code. It works for demos. It breaks in production. The gap between a prototype agent and a production agent isn't the model. It's whether you treated context as infrastructure. The Context Infrastructure Pattern I'm calling this the Context Infrastructure Pattern—not because we need another buzzword, but because we need language that captures the magnitude of the architectural shift. When context is a feature, you get fragile, app-specific implementations. No con