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Explore advanced multi-agent AI system development in this technical conference session from AWS re:Invent 2025. Discover how to build and orchestrate autonomous AI agent swarms that collaborate to solve complex industry-specific challenges by combining large language models with specialized domain expertise. Master agent orchestration framework customization techniques, implement advanced Retrieval-Augmented Generation (RAG) patterns for incorporating domain knowledge, and design collaborative decision-making mechanisms that enable agents to work together effectively. Learn production-scale observability strategies to monitor and manage multi-agent systems in real-world deployments. Gain insights from actual implementations as the session covers critical architecture decisions, common development pitfalls, and proven solutions for overcoming technical challenges. Acquire practical patterns and code examples for building next-generation AI systems equipped with memory capabilities, planning functions, and industry-specific collaboration features that can autonomously handle complex problem-solving scenarios in production environments.
