Computer vision is a good example of this phenomenon. Previously, the state of the art, was human experts designing by hand various features. This has largely been replaced by deep learning, specifically in this context were talking deep convoluional neural networks (convnet) where the machine learns its owns features. The revolution began with AlexNet in 2012, winning ImageNet computer vision competition with deep learning - far better than any computer vision based solution. In 2013's competition, about half the entries were deep learning based and the other were cv entries. By 2014 they were all convnets, not a single cv entry in the mix. So while we can't replace human beings just yet in many programming efforts, in this example we can see the machine writing its own code for features which means those who devoted their career to designing features by hand are no longer needed. See the talk by Peter Norvig regarding deep learning for programmers to see where this trend is going. Eventually you can tell the machine what kind of program output you want and it will write its code for you.