Example Concept: AI-driven code suggestions can disrupt existing workflows by introducing new learning curves for developers, requiring adjustments in coding habits, and necessitating updates to project documentation. Additionally, teams must evaluate the accuracy and relevance of AI suggestions to avoid potential errors or inefficiencies in the codebase. Ensuring that AI tools integrate smoothly with IDEs and version control systems is crucial for maintaining productivity and code quality.