We’ve recently launched good first issues recommendations to help new contributors find easy gateways into open source projects. Read about the machine learning engine behind these recommendations.

Learn more about what’s behind the scenes with GitHub vulnerability alerts.

In this deep-dive, we identified and worked through sporadic latency issues with services running on Kubernetes in our environment.

GitHub Desktop 2.2 now features an interactive tutorial to help introduce new users to Git and GitHub.

Edit your GitHub Actions workflow files easier with features to help you minimize errors and more.

We’re announcing the CodeSearchNet Challenge and releasing a large dataset for natural language processing and machine learning.

The projects section of the issue sidebar has been updated to better convey project information, and you can change an issue’s project column directly from the sidebar.

GitHub Sponsors now features a new streamlined onboarding and payment experience with Stripe Connect.

On August 26, 2019, the GitHub application was deployed to production with 100% of traffic on the newest Rails version: 6.0. Read more about our process for upgrading, what we learned, and what’s next.

To make language detection more robust and maintainable in the long run, we developed a machine learning classifier named OctoLingua based on an Artificial Neural Network (ANN) architecture which can handle language predictions in tricky scenarios.