GitHub has a reputation as a developer space. The terminal commands, the jargon, the assumption that you already know what a branch is. That reputation is mostly accurate and entirely beside the point.
You do not need to write code to get real value out of GitHub. You need to know what you are looking at.
GitHub is a record, not just a storage box
The obvious description is that GitHub hosts code. True, but not useful. A more accurate description: GitHub is where software decisions get made, argued over, documented, and tracked. In a well run GitHub project, every change anyone proposes has to go through it. Every bug someone files lives there. Every version a team ever shipped is logged there.
That means GitHub is readable in ways that have nothing to do with code. You can see whether a project is alive or abandoned. You can see what problems users are reporting. You can see whether the people maintaining it respond quickly or go quiet for months. You can see when the last significant change was made and who made it.
For a product manager, founder, policy person, or anyone building with AI tools, that information is often exactly what you need.
Git and GitHub are not the same thing
Git is the underlying version control system. It runs on your computer and tracks changes to files. GitHub is the platform built on top of Git, and it adds everything that makes collaboration visible: issues, pull requests, comments, releases, project history.
This matters because most of what you will read in this guide has nothing to do with Git commands or terminal windows. You will be reading GitHub through a browser, the same way you read anything else.
The mental model that makes everything click
GitHub is a record of decisions, not a code store. The code is in there, yes. But so is the meeting history, the to-do list, the argument about which approach to take, the record of every change made and why, and the release notes that tell you what version is stable. The activity around the code is what you read.
A project with thousands of open issues and no responses is a very different thing from a project with thousands of open issues and active maintainers triaging them daily. The code might look identical. The health is completely different. GitHub shows you both.
Why this matters more now
If you work with AI coding tools like Claude Code, Cursor, Lovable, or Replit, you are already producing software or working closely with people who do. That code often lives somewhere. It has dependencies, libraries, frameworks. Those dependencies have repositories. When something breaks or behaves unexpectedly, the answer is usually sitting in a GitHub issue or pull request somewhere.
The next time someone sends you a repo link, open it and read the activity. The code is almost never the part you need.