Building applications with agents involves more than creating individual agents. Developers must also decide how agents communicate, how workflows are coordinated, and which interaction patterns are appropriate for different types of problems.

This session provides a practical look at the mechanics of creating and working with agents. We will explore how agents are created, how they communicate, and how workflows that span multiple agents can be implemented. Using a real example throughout the session, we will examine different communication patterns, discuss the trade-offs associated with each approach, and consider when one pattern may be more suitable than another.

Rather than focusing on theory, the talk emphasizes implementation details and live code. Attendees will see the strengths and limitations of various approaches as they are applied to a working example. The session is intended for developers who are building, or preparing to build, applications that incorporate agents and want practical guidance on common design decisions and implementation challenges.

What You Will Learn:

• How to create agents and enable communication between them
• Different approaches to implementing workflows that involve multiple agents
• The advantages, limitations, and trade-offs of common agent communication patterns

Who Should Attend:

• Software engineers
• AI engineers
• Application developers building agent-based systems
• Technical leads
• Architects evaluating agent architectures
• Teams beginning to work with agents and multi-agent workflows