Why Functional Code Can Be Slower: The Hidden Cost of Immutability

Functional programming patterns like reduce with spread operators create new objects each iteration, causing significant performance overhead. A loop-based approach avoids this by mutating a single object, making it faster for large datasets. Understanding these trade-offs helps developers choose the right abstraction for performance-critical code.