We share some of the GitHub Copilot team’s experience evaluating AI models, with a focus on our offline evaluations—the tests we run before making any change to our production environment.

Developers tell us how GitHub Copilot and other AI coding tools are transforming their work and changing how they spend their days.

Learn how AI agents and agentic AI systems use generative AI models and large language models to autonomously perform tasks on behalf of end users.

Here’s how retrieval-augmented generation, or RAG, uses a variety of data sources to keep AI models fresh with up-to-date information and organizational knowledge.

Explore the capabilities and benefits of AI code generation, and how it can improve the developer experience for your enterprise.

Prompt engineering is the art of communicating with a generative AI model. In this article, we’ll cover how we approach prompt engineering at GitHub, and how you can use it to build your own LLM-based application.

Explore how generative AI coding tools are changing the way developers and companies build software.

Rapid advancements in generative AI coding tools like GitHub Copilot are accelerating the next wave of software development. Here’s what you need to know.

Generative AI has been dominating the news lately—but what exactly is it? Here’s what you need to know, and what it means for developers.