We Mapped 115 Microservices for Our Coding Agents — Kamalakannan Nandagopal, Postman
Postman mapped 150+ microservices into an API context graph to improve coding agent performance
“coding agents do a great job with projects from scratch or with fixes and improvements within the same project. But production systems are usually a bit more complex.”
Postman lead engineer Kamalakannan Nandagopal shares how the company built an API context graph across 150+ microservices to move coding agents beyond single-repo code generation into production-scale distributed systems. He highlights that pure LLM-generated documentation degrades in quality over time and requires human participation, while agent memory offers promise but remains limited in scope. The talk is a practical production case study on grounding autonomous agents in real API topology rather than relying on documentation alone.