Example Concept: AI-driven code suggestions can disrupt existing workflows by introducing unfamiliar code patterns or suggesting incomplete solutions. Developers may face challenges in integrating these suggestions due to differences in coding standards, potential security vulnerabilities, and the need for additional testing to ensure reliability. Balancing AI assistance with human oversight is crucial to maintain code quality and developer productivity.