Postman and AWS have published an account of the architecture behind Agent Mode, a feature built to operate for 40 million developers on Amazon Bedrock. The post emphasizes that running an AI agent at production scale differs significantly from building one that works in a demonstration.
The shared patterns include controlling tool sprawl, exposing schema-based reads, and treating context as the primary bottleneck rather than other components. The authors also describe how the system runs on Amazon Bedrock to support this scale.
Why it matters
Moving AI agents from prototype to large-scale production raises distinct engineering challenges. By outlining concrete architectural approaches, the post offers a reference for how an agent can be managed across a large user base.
Who should care
Developers and teams building AI agents, as well as engineers working on Amazon Bedrock deployments, may find the described patterns relevant to their own scaling efforts.