What if instead of asking one AI to build your application, you could give different AI agents different jobs — just like a real software engineering team?

In this session, we'll build a mini AI engineering team where specialized agents collaborate to solve a software development task. A Planner Agent breaks down the problem, a Developer Agent works on the implementation, a Tester Agent validates the solution, and a Reviewer Agent checks the result.

We'll explore how these agents communicate, share context, use tools and pass work between one another. More importantly, we'll examine whether adding more agents actually makes a system better — and the challenges that come with multi-agent architectures, including coordination, context management, reliability and cost.

The session will provide a practical introduction to multi-agent systems through a developer-focused example, helping attendees understand when a single agent is enough and when multiple specialized agents can make sense.

No advanced AI/ML knowledge is required.