We Mapped 115 Microservices for Our Coding Agents — Kamalakannan Nandagopal, Postman
Coding agents are great inside one repo. Postman has 115 microservices and thousands of endpoints.
Kamalakannan Nandagopal, staff engineer at Postman, shares how Postman made coding agents work across a real distributed system. Docs go stale, skills and MCPs are only as good as their context, and agent memory stays stuck with one person. Borrowing from Postman's go-to-market team, they realized APIs are the context layer, and built an API context graph that maps every service, endpoint, implementation and call, all the way down to databases, with every data point grounded in code or production telemetry. He shares evals built from real PRs and design decisions: big wins on API discovery, redesign and impact assessment, an honest failure when the graph went stale, the finding that 75% of PRs touched APIs, and a 21-page architecture review the agent produced on its own.
The text is the source's own description of its publication. The content belongs to AI Engineer.
More from AI Engineer
Inside Arca's Long-Horizon Agents That Run the Business - Aman Singh, Arca
AI Engineer 23 Oct
Real AI Agent Attacks and What Would Have Stopped Them — Andrey Rybka, Bloomberg
AI Engineer 23 Oct
Outside of tech there has been no financial payoff to US companies for using AI, now viewed as a margin-hurting cost center, as VC-backed firms burn more tokens
Techmeme 4 h ago
Source: Replit recently moved most AI spend from Anthropic to OpenAI, which gave 30%+ off in a deal worth $100M+/year, after Anthropic discontinued its discount
Techmeme 6 h ago
