Recent advances in automation of systematically reduced mechanisms are reported here with the aim to provide information for applications in computational fluid dynamics. A computer algorithm developed by the author's research group and associates is described in detail for fast generation and testing of reduced chemistry. This algorithm has been used to develop various reduced mechanisms of methane-air combustion for modeling of turbulent combustion. For illustration purpose, a 10-step reduced chemistry is used as an example for showing the development procedures and its performances in predictions of a wide range of flame phenomena, including general flame characteristics, flame extinction limits, flame propagation speeds, and auto-ignition delay times Strategies for using such an extensive reduced chemistry for modeling turbulent combustion are discussed.