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AI & ML
- AI & ML
  Learn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry.
  - Generative AI
    Learn how to build with generative AI.
  - GitHub Copilot
    Change how you work with GitHub Copilot.
  - LLMs
    Everything developers need to know about LLMs.
  - Machine learning
    Machine learning tips, tricks, and best practices.
- How AI code generation works
  Explore the capabilities and benefits of AI code generation and how it can improve your developer experience.
  Learn more
Developer skills
- Developer skills
  Resources for developers to grow in their skills and careers.
  - Application development
    Insights and best practices for building apps.
  - Career growth
    Tips & tricks to grow as a professional developer.
  - GitHub
    Improve how you use GitHub at work.
  - GitHub Education
    Learn how to move into your first professional role.
  - Programming languages & frameworks
    Stay current on what’s new (or new again).
- Get started with GitHub documentation
  Learn how to start building, shipping, and maintaining software with GitHub.
  Learn more
Engineering
- Engineering
  Get an inside look at how we’re building the home for all developers.
  - Architecture & optimization
    Discover how we deliver a performant and highly available experience across the GitHub platform.
  - Engineering principles
    Explore best practices for building software at scale with a majority remote team.
  - Infrastructure
    Get a glimpse at the technology underlying the world’s leading AI-powered developer platform.
  - Platform security
    Learn how we build security into everything we do across the developer lifecycle.
  - User experience
    Find out what goes into making GitHub the home for all developers.
- How we use GitHub to be more productive, collaborative, and secure
  Our engineering and security teams do some incredible work. Let’s take a look at how we use GitHub to be more productive, build collaboratively, and shift security left.
  Learn more
Enterprise software
- Enterprise software
  Explore how to write, build, and deploy enterprise software at scale.
  - Automation
    Automating your way to faster and more secure ships.
  - CI/CD
    Guides on continuous integration and delivery.
  - Collaboration
    Tips, tools, and tricks to improve developer collaboration.
  - DevOps
    DevOps resources for enterprise engineering teams.
  - DevSecOps
    How to integrate security into the SDLC.
  - Governance & compliance
    Ensuring your builds stay clean.
- How enterprise engineering teams can successfully adopt AI
  Learn how to bring AI to your engineering teams and maximize the value that you get from it.
  Learn more
News & insights
- News & insights
  Keep up with what’s new and notable from inside GitHub.
  - Company news
    An inside look at news and product updates from GitHub.
  - Product
    The latest on GitHub’s platform, products, and tools.
  - Octoverse
    Insights into the state of open source on GitHub.
  - Policy
    The latest policy and regulatory changes in software.
  - Research
    Data-driven insights around the developer ecosystem.
  - The library
    Older news and updates from GitHub.
- Unlocking the power of unstructured data with RAG
  Learn how to use retrieval-augmented generation (RAG) to capture more insights.
  Learn more
Open Source
- Open Source
  Everything open source on GitHub.
  - Git
    The latest Git updates.
  - Maintainers
    Spotlighting open source maintainers.
  - Social impact
    How open source is driving positive change.
  - Gaming
    Explore open source games on GitHub.
- An introduction to innersource
  Organizations worldwide are incorporating open source methodologies into the way they build and ship their own software.
  Learn more
Security
- Security
  Stay up to date on everything security.
  - Application security
    Application security, explained.
  - Supply chain security
    Demystifying supply chain security.
  - Vulnerability research
    Updates from the GitHub Security Lab.
  - Web application security
    Helpful tips on securing web applications.
- The enterprise guide to AI-powered DevSecOps
  Learn about core challenges in DevSecOps, and how you can start addressing them with AI and automation.
  Learn more

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.

Featured

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.

Latest

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.

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.

How developers spend the time they save thanks to AI coding tools

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

What are AI agents and why do they matter?

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.

What is retrieval-augmented generation, and what does it do for generative AI?

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.

How AI code generation works

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

An abstract image of the moon representing LLMs.

A developer’s guide to prompt engineering and LLMs

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.

How companies are boosting productivity with generative AI

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

How generative AI is changing the way developers work

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.