More than a prompt
It is tempting to think of context as the text placed into a model window. That definition is becoming too narrow. A production agent may need task history, user identity, delegated authority, organizational policy, environment state, prior tool results, data sensitivity, and the provenance of external instructions.
Those inputs shape behavior as much as the model itself. As a result, context starts to look less like application data and more like a shared systems concern.
Context changes what an action means
The same API call can be harmless in one situation and dangerous in another. Reading a customer record may be appropriate for a support workflow and inappropriate for an unrelated research task. Deploying code may be normal in a staging environment and unacceptable in production without review.
The operation has not changed. The surrounding context changes the meaning of the operation. That makes context relevant to authorization, observability, testing, incident response, and governance.
Provenance becomes first-class
Autonomous software consumes information from many places: users, documents, web pages, tools, memory, other agents, and external systems. Not all of those sources deserve the same trust.
Infrastructure therefore needs to preserve where information came from and how it entered the decision process. Provenance gives policy something concrete to reason about and gives operators a way to reconstruct why a system acted as it did.
Shared context, bounded context
There is tension between giving an agent enough context to be useful and giving it so much context that boundaries disappear. Useful systems need both sharing and isolation.
That suggests context infrastructure will need concepts familiar from other parts of computing: scopes, namespaces, lifetimes, inheritance, redaction, access policy, and explicit handoff between components. Context becomes something that is managed, not merely accumulated.
A new foundational layer
Databases made durable state a shared infrastructure concern. Identity platforms made authentication and authorization shared concerns. Observability platforms made telemetry a shared concern. Autonomous systems may create a similar need around operational context.
The most important systems may be the ones that can carry the right context across agents and actions without turning that context into an uncontrolled pool of information. That is why context is beginning to look like infrastructure.