Team Topologies provides the organizational architecture for teams and services: language, principles, techniques and design heuristics to enable teams of humans, hybrid teams of humans + AI assistance, and full Agentic AI to act with “bounded agency” to achieve goals and outcomes.

Even if the detail of the work involved for a particular value flow changes with AI - such as moving from human coding to AI-based code generation - the stewardship boundary around the value flow remains the remit of the human team. 

➡️ In short, the patterns in Team Topologies that were originally designed for humans are all vital for success with AI. 

Team Topologies provides a fresh combination of principles and practices that help evolve organizations towards effective collaboration, autonomy, delivery focus and product alignment ultimately enabling a faster flow of change.

In this mini-book

• Building Adaptive Systems for a Fast Flow of Change - Susanne Kaiser

• About Team Topologies and Context Mapping - Alberto Brandolini

• Exploring Team and Service Relationships with Team Topologies and Context Maps - Michael Plöd

• Architecting Your Business with Domain-Driven Design and Team Topologies - Nick Tune

• Finding Good Stream Boundaries with Independent Service Heuristics and User Needs Mapping - Rich Allen and Matthew Skelton

This mini-book contains 6 articles by the authors of Team Topologies - Matthew Skelton and Manuel Pais - that cover key aspects of modern organization dynamics.

In this mini-book

• How to break apart a monolith without destroying your team

• Forget monoliths vs. microservices. Cognitive load is what matters

• Why teams fail with Kubernetes — and what to do about it

• How to find the right DevOps tools for your team

• Why you should hire DevOps enablers, not experts

• Are poor team interactions killing your DevOps transformation?