Test-Driven Development (TDD) for dbt emphasizes writing tests before creating data models to ensure data quality and reliability. By defining success criteria upfront, analytics engineers can create robust models that meet specific requirements, reducing the likelihood of errors and simplifying the debugging process. This approach leverages dbt's built-in testing capabilities to enhance the overall integrity of data transformations.