Speed is nothing without control: How to keep quality high in the AI era
AI can help you build faster than ever, but it can also produce bugs, issues, and problems. Use these strategies to keep your speed without losing control of your code.
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Generative AI
Explore in-depth articles and tutorials on generative artificial intelligence (AI) models, such as GANs and transformers, techniques to improve performance with RAG, and practical applications for generative AI in your projects. Just getting started? Check out our guide on generative AI.
Your stack, your rules: Introducing custom agents in GitHub Copilot for observability, IaC, and security
Use partner-built Copilot agents to debug, secure, and automate engineering workflows across your terminal, editor, and github.com.
Measuring what matters: How offline evaluation of GitHub MCP Server works
Take a look inside our automated pipeline for rapid, rigorous evaluation for the GitHub MCP Server.
How to find, install, and manage MCP servers with the GitHub MCP Registry
Learn how to bring structure and security to your AI ecosystem with the GitHub MCP Registry, the single source of truth for managing and governing MCP servers.
Spec-driven development: Using Markdown as a programming language when building with AI
I coded my latest app entirely in Markdown and let GitHub Copilot compile it into Go. This resulted in cleaner specs, faster iteration, and no more context loss. ✨
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.
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.
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.
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.
Code review in the age of AI: Why developers will always own the merge button
When it comes to merging code, developers will always make the final decision. But we’re rethinking how tools like GitHub Copilot can help.
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.
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.
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.
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