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- 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.
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- GitHub recognized as a Leader in the Gartner® Magic Quadrant™ for AI Code Assistants
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  - Policy
    The latest policy and regulatory changes in software.
  - Research
    Data-driven insights around the developer ecosystem.
  - The library
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- Unlocking the power of unstructured data with RAG
  Learn how to use retrieval-augmented generation (RAG) to capture more insights.
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- An introduction to innersource
  Organizations worldwide are incorporating open source methodologies into the way they build and ship their own software.
  Learn more
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  - 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

Categories

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.
- GitHub recognized as a Leader in the Gartner® Magic Quadrant™ for AI Code Assistants
  Learn why Gartner positioned GitHub as a Leader for the second year in a row.
  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

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Reshabh Kumar Sharma

@reSHARMA

Student Researcher (former), Microsoft Code | AI. I am a PhD student at UW focused on improving the reliability and maintainability of LLM agents, using best practices from traditional software engineering.

Posts by this author

AI & ML

Validating agentic behavior when “correct” isn’t deterministic

How to build the “Trust Layer” for GitHub Copilot cloud agent without brittle scripts or black-box judgements by using dominatory analysis.

Reshabh Kumar Sharma

Posts by this author

Validating agentic behavior when “correct” isn’t deterministic

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