here’s a recent paper mentioning generative design and g-code: https://link.springer.com/chapter/10.1007/978-3-031-24457-5_38 Study of Improving Spur Gears with the Generative Design Method Abstract [edited]] the question of how to improve the geometry of these parts was always in the open. idea of reducing the material volume used in the manufacturing process by using a generative design method, meaning a free-flowing design using generative design software. CAD model is subjective to parameters that are targeted in the program (volume, mass, safety factor) that are a frame of reference to develop different iterations from which we chose 5 of them. A finite element analysis is made to compare the generative version with the non-modified CAD to see the differences in behavior. These results are used to choose the best iteration of the gear. The parts modified as well as the non-modified ones are manufactured using different additive manufacturing technologies. An analysis is made to see the differences in terms of mechanical characteristics by making tests for surface durability, tensile strength, and bending. The results of the analysis show a 50% decrease in material volume without compromising the structural functionality. comment: this is cool, seems like print optimization. it sounds like the computer might not be intelligent here, simply trying out changing parameters? maybe i am wrong? but they managed to optimize and design and made have data. experiencing further inhibition. want to look up what finite element analysis is.