The way you version control your ML projects is wrong

A Data Scientist spends most of his time inside a Jupyter Notebook exploring the data and drafting ideas. Usually, when we try to version our work, we end up with a bunch of duplicated ipynb files, assuming different naming schemes. Can we have something that automatically snapshots our work, before and after every step in an ML pipeline? Moreover, can we get started using it without a ton of configuration needed? Just open a Notebook, do our thing and be sure that everything else will take care of itself.