We Mapped 115 Microservices for Our Coding Agents — Kamalakannan Nandagopal, Postman

This post contributes to the field of agentic systems by detailing Postman's approach to enabling coding agents to operate effectively within a large-scale microservice architecture. The core contribution is the development of an API context graph, built from code and production telemetry, that maps services, endpoints, implementations, and dependencies. This graph serves as the grounding context for agents, overcoming limitations of stale documentation and limited agent memory. The talk highlights the success of this approach in API discovery, redesign, and impact assessment, with a notable failure due to graph staleness underscoring the importance of continuous updates. The work demonstrates that a significant portion of PRs (75%) involve API touchpoints, validating the need for such a context-aware agent system.