Angelo Elmi and Heather Hoffman present two teaching approaches for programming with statistical software in this post. The error-free method focuses on writing correct code, while the error-full method intentionally exposes students to instructor-created errors to develop their debugging skills. They believe that the error-full method helps students gain confidence and prefer it over the error-free approach.