Compared to other professions, software engineering is still in its infancy. But having almost reached a point where the code still running at the bottom of many large systems wasn’t written in living memory, there are now some early signs that this phase may finally be passing. The arrival of machine learning assistive tooling means change. Like the arrival of any other new tooling, these tools will change the level of abstraction for some, perhaps this time most, developers. But they also bring with them potentially unique ethical dilemmas, new security concerns, and some very open questions about the future of our profession.