Addy Osmani discusses context engineering for AI agents, emphasizing its importance beyond just prompt engineering. The discussion covers key concepts like tokens and context windows, highlighting the limitations and potential pitfalls of mismanaged context, such as limited memory, unstructured content, and information overload. Osmani introduces a template for effective context engineering, breaking down its dimensions, including task context, tone, background data, task description, examples, conversation history, and output formatting. The podcast also explores patterns for managing context, such as writing, selecting, compressing, and isolating context, and provides practical tips for AI coders to improve the quality and relevance of the information provided to AI agents.
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