Cross-cutting concerns like logging and benchmarking often bloat code with duplication, but Python decorators offer a sophisticated way to inject behavior without the mess. While the classic object-oriented pattern works, Python's functional approach is significantly more elegant—provided you know how to handle metadata and argument passing. Learn when to use this powerful tool and why changing function signatures inside a decorator can lead to architectural disasters.