How AI pair programming enables rapid exploration and learning through throwaway code
When working on novel algorithmic problems, AI excels at generating and testing multiple solution approaches quickly — letting you maximize learning by trying many directions and discarding failed experiments. This live session demonstrates how optionality in code exploration, rather than premature optimization toward a single solution, can accelerate both understanding and discovery.
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