AI-powered bug detection tools assist programmers in identifying and correcting errors in software code. By analyzing code syntax, semantics, and execution traces, these tools automatically detect anomalies, potential vulnerabilities, and common programming mistakes. Through machine learning algorithms and pattern recognition techniques, bugs are pinpointed with high accuracy, enabling rapid diagnosis and resolution. Moreover, AI-driven bug detection systems provide actionable insights and suggestions for code improvement, contributing to overall code quality and reliability. By automating the bug detection and correction process, developers can streamline software development workflows, reduce debugging time, and deliver more robust and error-free applications to end-users.