[D] Things to do for effective ML teamwork at an early stage startup

I was reading this [blog](https://erogol.com/2022/10/01/todos-for-effective-ml-team-work-at-an-early-stage-startup) on "Effective ML Teamwork at an Early Stage Startup". More there is in the post but in short, it says, quoting from the post

* Don't create APIs for ML, just copy&paste.
* Test every line.
* If you aren't sure about the design, test first.
* Always keep your experiments reproducible (lineage, data, code, baseline).
* Document everything. Be clear, and avoid abbreviations.

Reading the post, especially the parts about APIs, doesn't make sense …

machinelearning stage startup teamwork