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5 Powerful Python Decorators to Build Clean AI Code

The article showcases five Python decorators that streamline AI and machine learning development. It covers a concurrency limiter for throttling LLM API calls, a JSON‑based logger for structured production logs, a feature injector that guarantees consistent preprocessing, a deterministic seed setter for reproducible experiments, and a dev‑mode fallback that supplies mock data during failures. Each decorator is presented with minimal code using only standard libraries, illustrating how they can be dropped into existing pipelines. The author positions these patterns as practical tools for cleaner, more reliable AI code.