Context Engineering is rapidly emerging as a key skill in AI agent development. It focuses on strategically providing the right information at the right moment to guide an agent’s behavior. This talk explores practical techniques—from prompt design to retrieval pipelines and memory systems—illustrated with real-world examples. By taking a holistic view of today’s possibilities, developers will learn how to choose the most effective methods for each problem and build smarter, more reliable agents.
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