The use of adaptive feed rates shortens machining time and increases the potential of efficient machining. Currently, feed rates in an numerically controlled (NC) program are pre-set constant values that are often determined based on the job shop experiences gained over the years by skilled operators. There is no such way to adapt feed rate to on-going cutting conditions since the feed rate is set before the NC code is executed. In this study, an optimizer for canonical machining commands (optiCMC) has been developed. Fuzzy adaptive control is used to keep a constant cutting load by adjusting feed rate automatically to the cutting conditions. The results showed that optimum feed rates can be achieved and controlled during the machining process considering the machine tool's capabilities and limitations. The developed optiCMC helps achieve machining optimization, shorten machining time, and increase product quality.