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

Meet the GitHub MCP Registry: The fastest way to discover MCP Servers

This is your new home base for discovering MCP servers. Learn how we’re working with the broader community on MCP publication and discovery.

GitHub Copilot coding agent 101: Getting started with agentic workflows on GitHub

Delegate it a task, and coding agent can independently write, run, and test code. Here’s how you can make the most of it.

How to debug a web app with Playwright MCP and GitHub Copilot

Reproduce and debug web app issues with ease using the Playwright MCP server and GitHub Copilot.

Building smarter interactions with MCP elicitation: From clunky tool calls to seamless user experiences

Explore how MCP elicitation transforms AI tool interactions by gathering missing information upfront.

Latest

5 tips for writing better custom instructions for Copilot

This guide offers five essential tips for writing effective GitHub Copilot custom instructions, covering project overview, tech stack, coding guidelines, structure, and resources, to help developers get better code suggestions.

Spec-driven development with AI: Get started with a new open source toolkit

Developers can use their AI tool of choice for spec-driven development with this open source toolkit.

Under the hood: Exploring the AI models powering GitHub Copilot

Learn how GitHub Copilot’s evolving models and infrastructure center developer choice and power agentic workflows.

How we accelerated Secret Protection engineering with Copilot

Learn how the Secret Protection engineering team collaborated with GitHub Copilot coding agent to expand validity check coverage.

How to use GitHub Copilot on github.com: A power user’s guide

Explore how to use GitHub Copilot on github.com to automate tasks, assign agents, prototype ideas, and streamline your entire workflow — all without an IDE.

Building your first MCP server: How to extend AI tools with custom capabilities

Learn Model Context Protocol by building a turn-based game server that shows how to extend GitHub Copilot with custom tools, resources, and prompts.

GPT-5 in GitHub Copilot: How I built a game in 60 seconds

How GitHub’s new MCP server and GPT-5 are revolutionizing developer workflows — with live build examples.

How to use GitHub Copilot to level up your code reviews and pull requests

Discover practical ways GitHub Copilot streamlines code reviews, pull requests, and daily engineering tasks with real prompts, examples, and workflow tips from our engineering team.

Junior developers aren’t obsolete: Here’s how to thrive in the age of AI

The role of junior developer is evolving. If you’re at this stage in your career, here’s how to keep up and stand out.

Automate your project with GitHub Models in Actions

Learn how to integrate AI features with GitHub Models directly in GitHub Actions workflows.

Onboarding your AI peer programmer: Setting up GitHub Copilot coding agent for success

Learn how to configure Copilot coding agent’s environment, optimize project structure, use custom instructions, and extend its capabilities with MCP servers.

A practical guide on how to use the GitHub MCP server

Upgrade from a local MCP Docker image to GitHub’s hosted server and automate pull requests, continuous integration, and security triage in minutes — no tokens required.

How to build secure and scalable remote MCP servers

More context can mean more attack surfaces for your projects. Be prepared for what lies ahead with this guide.

Solving the inference problem for open source AI projects with GitHub Models

How using GitHub’s free inference API can make your AI-powered open source software more accessible.

Debugging UI with AI: GitHub Copilot agent mode meets MCP servers

Explore how I use agentic tools like GitHub Copilot agent mode and the Playwright MCP server to accelerate troubleshooting and debugging of UI issues, while revisiting the importance of clear requirements.