Improved accessibility features in GitHub CLI

We’ve introduced new accessibility updates to the GitHub CLI, designed to make terminal workflows more inclusive for all developers. These improvements focus on:

  • Speech synthesis screen reader support: Enhanced prompting and progress indicators now provide better context and clarity for users relying on screen readers.
  • Color and contrast customization: Optimized color palettes ensure compatibility with terminal preferences, maintaining readability for users with low vision or colorblindness. Alignment with ANSI 4-bit color standards allows users to tailor their color usage to their needs.

These updates are available in public preview. To start using these features, run gh a11y.

To learn more, check out the GitHub CLI release notes for version 2.72.0.

Have any questions, feedback, or other comments? Share them in our community discussion post.

Back in 2019, we launched draft pull requests, allowing you to clearly tag when a pull request is a work in progress.

Previously, GitHub Free users could only create draft pull requests in public repos. Today, we’re changing that. You can now create draft pull requests in any repository, public or private, completely free of charge, so you can share your work and start collaborating earlier. ⭐

Ready to try it? Just select Create draft pull request when creating a pull request:

Demonstrating how to create a draft pull request

And when your pull request is ready for review, click the Ready for review button at the bottom of your pull request:

A draft pull request with the **Ready for review** button

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Phi-4-reasoning and Phi-4-mini-reasoning release on GitHub Models

The latest AI models from Microsoft, Phi-4-reasoning and Phi-4-mini-reasoning, are now available on GitHub Models.

Phi-4-reasoning is a model optimized for advanced reasoning in math, science, and coding. It is ideal for applications such as coding assistance, generative AI research, and knowledge-intensive problem-solving.

Phi-4-mini-reasoning is a lightweight model designed for multi-step mathematical reasoning and logic-intensive tasks, such as formal proof generation, symbolic computation, and advanced word problems. Its efficient design supports educational applications, embedded tutoring, and lightweight mobile systems.

Try, compare, and implement these models in your code for free in the playground (Phi-4-reasoning and Phi-4-mini-reasoning) or through the GitHub API.

To learn more, visit the GitHub Models documentation, and join the community discussions to share feedback and connect with other developers.

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