  Natural language processing models have emerged that can generate usable
software and automate a number of programming tasks with high fidelity. These
tools have yet to have an impact on the chemistry community. Yet, our initial
testing demonstrates that this form of Artificial Intelligence is poised to
transform chemistry and chemical engineering research. Here, we review
developments that brought us to this point, examine applications in chemistry,
and give our perspective on how this may fundamentally alter research and
teaching.
