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Explore agentic AI development on the JVM through this 56-minute conference talk featuring Spring Framework creator Rod Johnson discussing Embabel, an innovative agentic AI framework built on Spring and Spring AI. Discover why bringing agentic AI to enterprise environments where business logic already exists (Java, .NET, Node.js) makes more sense than forcing a Python-centric approach, and learn how deterministic planning combined with strong typing creates more reliable and explainable multi-step AI agents. Watch live demonstrations of practical implementations including a Java agent template, reviewer workflow system, and a Kotlin-based travel planner that integrates multiple large language models with real-world tools through Docker Desktop's MCP gateway. Gain insights into advanced patterns such as cost tracking mechanisms, human-in-the-loop processes, and the strategic decision of when to embed instructions in code versus prompts, while understanding how type-safe prompts and typed outputs enhance development reliability in Spring AI applications.
