Code optimization powered by AI aims to enhance software performance by automatically refining code structure, algorithms, and resource utilization. AI algorithms analyze code patterns, execution paths, and system behavior to identify areas for improvement. Techniques such as algorithmic optimization, memory management, and parallelization are applied to optimize code for speed, efficiency, and scalability. By leveraging AI for code optimization, developers can achieve significant performance gains without extensive manual intervention, enabling the creation of faster and more efficient software solutions. Additionally, AI-driven optimization contributes to resource conservation, energy efficiency, and overall cost reduction in software development and deployment.