Agent Teams Architecture
How agent teams work under the hood — the coordination protocol, task distribution, result merging, and the fan-out/fan-in execution model.
Start lessonBuild and orchestrate multi-agent systems where independent Claude agents work in parallel and coordinate on complex workflows.
Follow the lessons sequentially for best understanding
How agent teams work under the hood — the coordination protocol, task distribution, result merging, and the fan-out/fan-in execution model.
Start lessonFour team patterns for multi-agent systems — Fan-Out/Fan-In, Pipeline, Consensus, and Specialist — with a decision matrix and implementation for each.
Start lessonBuild a complete multi-agent code review system — security, performance, and maintainability agents running in parallel with a coordinator that merges and deduplicates findings.
Start lessonShared state management, conflict resolution when agents disagree, priority-based merging, and handling partial failures in multi-agent systems.
Start lessonProduction deployment of agent teams — monitoring, per-agent cost tracking, timeout management, graceful degradation, and structured logging for observability.
Start lessonWhat you'll master in this module
Gain practical experience you can apply immediately
Develop deeper domain expertise
Learn to communicate your knowledge effectively
Create your own notes and documentation
Learn systematic approaches to complex problems
Optimize for performance and efficiency
How to get the most out of this module
Don't move on until you fully understand the previous lesson
Spend daily time on the practical lesson exercises
Write down key insights and your own thoughts
If something is unclear, ask the community for help
Validate learning with exercises and quizzes
Teach concepts to others to reinforce retention