AI & ML

GitHub engineers and industry thought leaders offer tips, best practices, and practical explainers about various aspects of AI and ML, ranging from fundamental concepts to advanced techniques and real-world applications. For more detailed documentation and practical guides on GitHub’s own AI coding tool, GitHub Copilot, check out GitHub’s official documentation.

Featured

Copilot ask, edit, and agent modes: What they do and when to use them

An introduction to the three distinct modes of GitHub Copilot and a practical guide for integrating them effectively into your workflow.

The AI-powered DevOps revolution: Redefining developer collaboration

Collaboration is crucial to successful software delivery. Let’s dive into how AI can help your development teams decrease their time to delivery, and foster better communication and collaboration using GitHub Copilot.

GitHub for Beginners: Building a REST API with Copilot

See how you can use GitHub Copilot to build an API.

A guide to deciding what AI model to use in GitHub Copilot

What to look for with each model and how to test them in your workflows—with tips, tricks, and pointers.

Latest

From prompt to production: Building a landing page with Copilot agent mode

See how I built a developer-focused landing page in under 30 minutes using GitHub Copilot agent mode and Claude 3.5 Sonnet—with just screenshots and prompts.

Which AI model should I use with GitHub Copilot?

Ever wondered which AI model is the best fit for your GitHub Copilot project? Here are some things to consider.

GitHub for Beginners: Security best practices with GitHub Copilot

Learn how to leverage GitHub Copilot to make your code more secure.

What the heck is MCP and why is everyone talking about it?

Everyone’s talking about MCP these days when it comes to large language models (LLMs)—here’s what you need to know.

GitHub for Beginners: How to get LLMs to do what you want

Learn how to write effective prompts and troubleshoot results in this installment of our GitHub for Beginners series.

Mastering GitHub Copilot: When to use AI agent mode

Discover the differences between agent mode and Copilot Edits with GitHub Copilot—and when to use them in your workflows.

GitHub for Beginners: Essential features of GitHub Copilot

Get the most out of Copilot with code completion, inline chat, slash commands, Copilot code review, and more.

Not just for developers: How product and security teams can use GitHub Copilot

GitHub Copilot isn’t just for developers! Discover how product managers, security professionals, scrum masters, and more use GitHub Copilot to streamline tasks, automate workflows, and boost productivity across teams.

GitHub for Beginners: How to get started with GitHub Copilot

Get started with GitHub Copilot and navigate features like Copilot Chat in this installment of the GitHub for Beginners series.

How to debug code with GitHub Copilot

GitHub Copilot can streamline your debugging process by troubleshooting in your IDE, analyzing pull requests, and more, helping you tackle issues faster and more robustly.

A thumbnail graphic for GitHub Copilot, an AI coding tool from GitHub.

How to refactor code with GitHub Copilot

Discover how to use GitHub Copilot to refactor your code and see samples of it in action.

Open source AI is already finding its way into production

Open source AI models are in widespread use, enabling developers around the world to build custom AI solutions and host them where they choose.

Modernizing legacy code with GitHub Copilot: Tips and examples

Learn how to modernize legacy code with GitHub Copilot with real-world examples.

How we evaluate AI models and LLMs for GitHub Copilot

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.