Doris EsenarroEmerson PorrasJesica Vilchez CairoAbigail Ortiz CurinambeVanessa RaymundoL.H. ChangJ.Á. PeñaRamiro TorricoSantiago Paz Nakura2026-03-222026-03-22202510.3390/buildings15213895https://doi.org/10.3390/buildings15213895https://andeanlibrary.org/handle/123456789/78199The high material waste, long execution times, and lack of adoption of technological solutions hinder the construction process in the building sector. In response, this project proposes the development and validation of parametric digital tools to optimize the design and CNC fabrication of WikiHouse prototypes, an open-source modular system that enables precise assemblies without the need for additional metal joints. The main objective is to optimize the architectural design process through tools such as Grasshopper and Python, increasing precision, reducing material waste, and shortening the manufacturing times of CNC components for WikiHouse. The results include drastic time reductions when shifting from manual workflows to CAD–CAM parameterized workflows, with processing times of approximately 1 min (≈0:32–1:16) compared to 63–109 min using manual methods. This study demonstrates that parameterization—rather than robotization—is a realistic pathway to transfer open systems like WikiHouse to low-tech contexts: it reduces preparation times to minutes, cuts waste, and decreases variability among operators.enWorkflowModular designPrefabricationPython (programming language)Computer scienceProcess (computing)Parametric statisticsEngineering drawingParametric designSystems engineeringUse of Parametric Digital Tools in Grasshopper and Python for Optimization of CNC Prefabrication Process in WikiHouse Prototype Constructionarticle