How Postman runs Agent Mode for 40 million developers on Amazon Bedrock
Postman set out to build Agent Mode, an AI-native way to work across API testing, documentation, discovery, and implementation.
Proof1 independent outlet
Key points
- Building an AI agent for a demo and operating one for 40 million developers are different engineering problems.
- We also explain how Agent Mode uses Amazon Bedrock for model flexibility, geographically scoped cross-Region inference, model-dependent zero data retention, and multi-tier prompt caching.
- Figure 1: Agent Mode works directly against the Postman application.
- Figure 2: Postman Agent Mode combines client-side tools, agent orchestration, purpose-built context, and Amazon Bedrock model inference.
Sources (1)
- [1]How Postman runs Agent Mode for 40 million developers on Amazon BedrockAWS Machine Learning Blog · Oct 9, 03:35 PM
Postman set out to build Agent Mode, an AI-native way to work across API testing, documentation, discovery, and implementation.
Building an AI agent for a demo and operating one for 40 million developers are different engineering problems.
Extractive summary: sentences quoted from the sources.
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