GitHub Models brings AI experimentation directly into your repository, making prompts a first-class part of your development workflow. With dozens of LLMs to choose from, you can write prompts like code, run them in an integrated playground, compare outputs side by side, and automatically evaluate results—all without leaving your familiar Git/GitHub Actions environment.

In this session, we’ll walk through the full journey:
- Experiment interactively in the Playground.
- Compare models in the side-by-side Comparisons view.
- Validate quality using built-in automated evaluators.
- Integrate models into production pipelines with GitHub Actions.

By the end of the session, you’ll understand how to transform prompts into versioned, tested, and production-ready assets—scalable across your organization.
Audience: This session is ideal for developers, DevOps engineers, and AI practitioners who want to bridge the gap between AI prototyping and real-world deployment.