New AI projects often lead you to GitHub, where you see files, technical terms and a star count. You do not need to read code to get a first impression, but you need to know what you are looking at.
A place to develop software
GitHub is a platform for storing code, tracking changes and collaborating. A project lives in a repository. Its README often explains what it does, how to use it and which components are required.
Git tracks file changes. GitHub adds online collaboration and project management, among other features. It is more than a download page for ready-made applications.
What I would read first
Start with the project’s purpose. Does it address your need? Then check installation instructions. Do you open an application, or maintain a server and connect external services? That difference affects the work you take on.
Next, look at the licence, recent changes and reported issues. User questions and responses provide context. An open issue is not automatically a reason to reject a project, but it may affect your use case.
What about the stars?
A large star count indicates attention. It does not show whether a project fits your work, is securely configured or will still be maintained a year from now.
Low activity also needs context. Is the project small and complete, or are unresolved problems accumulating? One number cannot tell you.
Use GitHub as a starting point for assessment. Understand the requirements, terms and maintenance responsibilities. A popular project can be worth exploring without being ready for your business.
Sources and further reading
Explanation and commentary based on the sources below. Examples are illustrative.