Optimizing every loop might seem beneficial, but it can lead to complex code that is harder for others to read and debug if not needed.
Prioritize clarity over hypothetical performance gains; keeping loops simple allows for easier understanding and maintenance, and only optimize when a bottleneck is evident.
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