A workflow I'd like to see: you write your code and ensure that it is functionally correct, all the tests pass. Then you go home and overnight, some ML/DL/NN whatever tool works on your code to find the best way to compile it (fastest binary that passes all tests). Repeat this every day for the duration of the project. At the end your artifacts are the source code, the shippable binary, and a model perfectly trained to produce the latter from the former. It's a shame that Itanic was too soon to take advantage of ML going mainstream.

If you don't have any idea how to solve your hard problem, just claim that magic exists and call this magic Machine Learning/Deep Learning/Neural Network to make it sound more scientific.