From Prompt Engineering to Agent Experience

The article discusses the evolution of working with large language models, from the era of prompt engineering to the emergence of AI agents that can autonomously pursue goals and make decisions.

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The article describes the shift from the era of prompt engineering, where the focus was on crafting a single, curated prompt to provide a language model with everything it needed, to the emergence of AI agents that can engage in a rich dialogue, access external tools, and reason through problems autonomously. These agents can now operate in command-line environments, performing real-world tasks like compiling code and managing infrastructure. As agents gain more autonomy, the focus shifts from scripting behavior to designing the environment in which the agent's decisions emerge. Managing the agent's evolving context and providing clear guidance on what information it might need are new challenges beyond prompt engineering. The article suggests that the complexity is moving from the harness around the model to the model's own reasoning, and the primary way to influence an agent's choices is by shaping its environment, rather than scripting its behavior.