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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
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  - GitHub Copilot
    Change how you work with GitHub Copilot.
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  - Machine learning
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- How AI code generation works
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  Learn more
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  - Application development
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  - Career growth
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  - 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.
  - Scripting & automation
    How GitHub engineers use scripting and automation.
  - 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
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  - Automation
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  - CI/CD
    Guides on continuous integration and delivery.
  - Collaboration
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  - DevOps
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  - DevSecOps
    How to integrate security into the SDLC.
  - Governance & compliance
    Ensuring your builds stay clean.
  - Secure enterprise development
    Locking down the SDLC one step at time.
- 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.
  - Surveys
    What developers and industry leaders say matters most.
  - 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.
  - Documentation
    Tips for creating and maintaining documentation.
  - Gaming
    Open source games on GitHub.
  - Git
    The latest Git updates.
  - Licenses
    Open source licenses, explained.
  - Maintainers
    Spotlighting open source maintainers.
  - Social impact
    How open source is driving positive change.
- 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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Home / DevSecOps

DevSecOps

News & insights

GitHub and JFrog partner to unify code and binaries for DevSecOps

This partnership between GitHub and JFrog enables developers to manage code and binaries more efficiently on two of the most widely used developer platforms in the world.

A schematic diagram depicting the steps an SAST tool takes to scan the source code of an SQL application under an SQL injection attack. The first step is tokenizing the source code, the second is abstracting the source code, the third conducting semantic analysis, the fourth conducting taint analysis, and the last generating a security alert about the SQL injection vulnerability.

Enterprise software

The architecture of SAST tools: An explainer for developers

More developers will have to fix security issues in the age of shifting left. Here, we break down how SAST tools can help them find and address vulnerabilities.

Application security

AppSec is harder than you think. Here’s how AI can help.

In practice, shifting left has been more about shifting the burden rather than the ability. But AI is bringing its promise closer to reality. Here’s how.

5 ways to make your DevSecOps strategy developer-friendly

Developers care about security, but poorly integrated tools and other factors can cause frustration. Here are five best practices to reduce friction.

How to mitigate OWASP vulnerabilities while staying in the flow

Explore how GitHub Advanced Security can help address several of the OWASP Top 10 vulnerabilities

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