Artificial Intelligence (AI) has become a powerful tool in software development, playing a vital role in bug detection and performance optimization. As software systems grow more complex, traditional methods are no longer sufficient to ensure high quality and efficiency. In bug detection, AI techniques rely on machine learning and code analysis to identify potential errors at an early stage. These systems can recognize incorrect coding patterns and predict bugs before the software is executed, reducing failures and saving developers time and effort. regarding performance optimization, AI is used to analyze resource usage such as memory and CPU consumption, and to identify performance bottlenecks. It can also suggest automatic code improvements, enhancing execution speed and overall system efficiency, especially in large and complex applications. AI also contributes to automated software testing by generating intelligent test cases that cover multiple scenarios, increasing testing accuracy and detecting issues that might be overlooked by humans.