AI code generation is a technique that uses artificial intelligence to write and improve code, leveraging large language models and specialized AI systems. This method has gained popularity among developers, with 92% of developers having already used AI coding tools at work or on personal projects. AI-generated code can speed up development, reduce repetitive tasks, and free developers to focus on innovation. However, it also comes with security risks if the training data includes insecure patterns or vulnerabilities. To mitigate these risks, organizations should implement best practices for secure AI-assisted coding, such as reviewing AI-generated code before integration and using tools like Snyk Code's real-time static application security testing (SAST). AI-powered coding has various benefits, including faster development, reduced costs, and improved code quality. Nevertheless, it also has limitations and challenges, such as a lack of context awareness and the potential for over-reliance on automation.