Wrote this article because I was inspired by the amount of data the GitHub API gives easy access to and all the sorts of interesting info that can be gleaned from it.
It also raises some interesting questions on how to use this data effectively and responsibly as a tool for reflection on an engineering team's operating methods. I'd love to hear if other engineering teams have gleaned anything interesting about their own methodologies from GH data!
