Validating models is crucial in a model-driven environment to ensure successful code generation. Without proper constraint checks, users may face unexpected issues, leading to skepticism about the effectiveness of the approach. Incorporating error handling into the workflow not only enhances robustness but also mirrors practices from test-driven development, ensuring that the system evolves to handle real-world complexities.
