Descriptive Geometry (DG) is an essential component of engineering curricula due to its role in the two-dimensional representation of three-dimensional objects. Mastering DG requires advanced cognitive strategies and methodologies that develop spatial perception, logical-mathematical reasoning, and the ability to solve complex geometric problems. In engineering, DG focuses on teaching representation systems and analyzing geometric surfaces and shapes commonly used in industrial applications. However, traditional paper-based methods present challenges, such as inaccuracies in drawing execution and limitations in precisely defining curves. While reducing drafting errors was an important goal, the primary motivation behind the design of CeDG (Computer Extended Descriptive Geometry) was twofold. First, the need for a computational three-dimensional parametric tool based on DG procedures, and second, the ability to exploit the capabilities of dynamic geometry tools to facilitate the comprehension of space. This is the first study concerned with the second goal.