Turning thoughts into software is what software engineers do every day. At every point along the technology trajectory technologists have created more and more powerful abstractions. When transistors where first created: print "Hello World" would have seemed a magical melding of the minds of machine and man, whereas today we can create customized eCommerce social networks with a few keystrokes.
However, as powerful as the tools get, you still have to tell the machine exactly what you want it to do. Depending on the tool, sometimes that is easy, sometimes that is hard. I feel like there should be a fundamental law of "ability to easily express" vs "flexibility of expression." I'm not sure how much machine learning can serve as our savior in this regard, even if we can eliminate "make an Amazon clone" posts on cheap-outsourced-developer.com by just using ML to classify it and spit out the boiler plate.
In order for something to be profitable it has to be customized, and when this happens the abstractions inevitably seem to break down. Based on this I think turning thoughts into software will happen around the same time thinking becomes mass-produced. How can you create, "eBay, but for car buying, with a twitter messaging component built for the Brazilian market" without first beating the Turing test as a sub-problem?