{"id":90506,"date":"2025-08-28T12:02:44","date_gmt":"2025-08-28T19:02:44","guid":{"rendered":"https:\/\/github.blog\/?p=90506"},"modified":"2025-08-28T12:02:45","modified_gmt":"2025-08-28T19:02:45","slug":"how-github-models-can-help-open-source-maintainers-focus-on-what-matters","status":"publish","type":"post","link":"https:\/\/github.blog\/open-source\/maintainers\/how-github-models-can-help-open-source-maintainers-focus-on-what-matters\/","title":{"rendered":"How GitHub Models can help open source maintainers focus on what matters"},"content":{"rendered":"\n

Open source runs on passion and persistence. Maintainers are the volunteers who show up to triage issues, review contributions, manage duplicates, and do the quiet work that keeps projects going.<\/p>\n\n\n\n

Most don’t plan on becoming community managers. But they built something useful, shared it, and stayed when people started depending on it. That’s how creators become stewards.<\/p>\n\n\n\n

But as your project grows, your time to build shrinks. Instead, you’re writing the same “this looks like a duplicate of #1234” comment, asking for missing reproduction steps, and manually labeling issues. It’s necessary work. But it’s not what sparked your love for the project or open source.<\/p>\n\n\n\n

That’s why we built GitHub Models: to help you automate the repetitive parts of project management using AI, right where your code lives and in your workflows, so you can focus on what brought you here in the first place. <\/p>\n\n\n\n

What maintainers told us<\/h2>\n\n\n\n

We surveyed over 500 maintainers of leading open source projects about their AI needs. Here’s what they reported:<\/p>\n\n\n\n