Hah, classic. But in all seriousness I think its a pretty interesting issue. A lot of the ML and data science sees people coming in who do not have formal computer science and software development backgrounds. We build tools and methodologies around abstracting away some of the code development process and hope that it lands us in an environment that's easy to share with others. This is unfortunately rarely the case.

Its a problem that as an industry I think we are in the middle of "solving" (probably can't be solved fully, but things are getting better). I'm really excited to see what kinds of tools and tests will be developed around getting ML projects with some better practices.