<ul><li>Refactored inefficient O(n) approach in a game state tracking system to a snappy O(1) solution.</li><li>Originally, the system recalculated the most common move from the history every time, resulting in O(n) time complexity.</li><li>The fix involved tracking move counts in real time, avoiding the need for recalculations and achieving O(1) time complexity.</li><li>By caching move counts as moves were made, the system became more efficient, scalable, and simpler to manage.</li></ul>

🔥 From O(n) to O(1): Smarter Game State for Smarter Code

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