By leveraging genetic big data and artificial intelligence technologies, we aim to transform rice breeding into a paradigm of a “turning puzzle” game, enabling modular design of elements such as stable yield and high quality. Through environment-specific algorithms, we can freely assemble genetic building blocks to precisely breed regionally customized varieties, elevating breeding from an empirical art to a computable scientific engineering.