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Explore the evolving landscape of Agentic AI in software development through this 24-minute conference talk that examines seven foundational patterns transforming how AI systems operate. Begin with a practical demonstration before diving into the current state of AI in development and establishing a mental model for agentic systems. Learn about conversational clients as the foundation, then progress through contextual conversational clients that maintain awareness across interactions. Discover how Retrieval-Augmented Generation (RAG) enhances AI capabilities by incorporating external knowledge, and understand self-correcting RAG systems that can validate and improve their own outputs. Examine function calling agents that can execute specific tasks, agents utilizing Model Context Protocol (MCP) for enhanced communication, and sophisticated agent-to-agent interaction patterns that enable collaborative AI systems. Gain insights into how these patterns build upon each other to create increasingly intelligent, context-aware, and autonomous AI partners in software development, moving beyond simple helpers to sophisticated collaborative systems that can self-correct and work together effectively.
