Team Topologies for Building and Operating Agentic Platforms
By
Olivier Wulveryck
Summary
This article explores the organizational and team structure needed to build and maintain an agentic platform—a system where AI agents plan, code, test, and ship software at scale. Building on the concept of the "agentic factory" from a previous article, it applies Team Topologies principles to define which teams build the platform versus which teams consume it, and how they interact. The article addresses the fundamental question of "who does what" in the context of agentic AI development, focusing on team boundaries, interaction modes, and organizational design for reliable AI-powered application delivery.
Source
Key quotes
· 3 pulledThe agentic platform defines what needs to be provided. Team Topologies defines who provides it, and how teams interact to make it happen.
But a platform does not build itself, and more importantly, it is not consumed the same way it is built.
A fundamental question remains: who does what?
You might also wanna read
A Field Guide to Production-Ready AI Agents: Context Windows, Security, and Drift Monitoring
Karl Mehta presents a field guide for building production-ready AI agents, focusing on four key engineering challenges: context-window disci
The Web's Shift to Agent-Native Architecture: Why Most Teams Are Unprepared
The article discusses the paradigm shift from traditional human-driven web browsing to an "agent-native" web ecosystem where AI systems auto
Autonomous Agentic Systems: A Practical Guide to "Always-On" Agents
AI coding shifts from prompts to loops, making verification the key challenge for engineering teams
The article discusses a paradigm shift in AI-assisted software development, moving from individual prompt engineering to designing "loops" t
bit.ly·8d agoA 9-Step Blueprint for Building Production-Grade Agentic AI Systems
This article presents a comprehensive 9-step blueprint for building production-grade agentic AI systems, covering everything from GPU comput
undercodetesting.com·1d agoThe monitoring blind spot in production multi-agent AI systems
Multi-agent AI systems built on frameworks like CrewAI, AutoGen, and LangGraph are moving from experimental demos into production environmen
thenewstack.io·25d agoComments
Sign in to join the conversation.
No comments yet. Be the first.
