Join us in New Orleans, Louisiana for POWERUp 2026, the premier conference for IBM i professionals. Whether you’re an experienced expert or just starting your IBM i journey, this event offers unparalleled education, hands-on workshops, and valuable networking opportunities. Stay ahead of the curve with insights from industry leaders, explore the latest innovations, and connect with a thriving community that shares your passion for IBM i. Don’t miss this opportunity to expand your knowledge, grow your skills, and power up your career!
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Discover how to build AI agents for IBM i from the ground up in this hands-on exploration of modern agent development. This session takes you on a practical journey from creating your first simple agent using open source frameworks to designing full-featured enterprise solutions that integrate with IBM i environments. You'll learn how to leverage tools like the IBM i MCP server to build agents that can interact with Db2 for i, automate system administration tasks, and enhance developer workflows. Whether you're a system administrator looking to automate routine operations, a database admin seeking to optimize query performance, or a developer wanting to bring AI capabilities to your IBM i applications, this session provides the foundational knowledge and practical patterns you need to start building effective agents today. By the end of this session, you'll understand the complete agent development lifecycle and be equipped with reusable patterns and best practices for implementing your own AI-powered solutions on the IBM i platform.
Learning Objectives:
Understand the core architecture and components of AI agents, including how they process requests, make decisions, and interact with IBM i systems Implement a functional agent from scratch using open source frameworks that can execute Db2 for i queries and system commands Configure and leverage the IBM i MCP (Model Context Protocol) server to enable seamless agent integration with enterprise IBM i environments Apply proven design patterns and best practices for building reliable, maintainable agents that address real-world system administration and database management challenges Evaluate different agent deployment strategies and select the appropriate approach based on use case requirements, from simple automation scripts to full enterprise solutions
