Example Concept: AI coding tools can analyze Python scripts to identify performance bottlenecks and suggest optimizations. For instance, they might recommend using list comprehensions instead of loops for faster execution, propose more efficient data structures, or suggest built-in functions that are optimized for specific tasks. By integrating with your IDE, these tools provide contextual suggestions that can be directly applied to improve code performance.