The authors present a programmed experiment to automatically generate art in the style of Kandinsky during his Bauhaus years. The program the authors developed analyzes the artist’s paintings based on his art theories and the authors’ own understanding and observations of his artworks. The authors describe the generation process in detail and share and discuss sample generated images styled according to four of Kandinsky’s paintings. By pseudorandomizing various parameters, the program is able to make each styled image it generates unique. The authors’ approach is highly scalable, limited only by the memory space set in the programming language Processing, which is used for the generation. Potential impacts of the authors’ approach are also discussed.