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The case for a cooldown: Why Dependabot now waits before issuing version updates Copilot vs. raw API access: What are you actually paying for? Next chapter: Restructuring GitHub's bug bounty program How to build interactive experiences with canvases $100 million for open source: A milestone built by the community The cost of saying yes has changed GitHub for Beginners: Your roadmap to mastering the GitHub essentials Better tools made Copilot code review worse. Here's how we actually improved it. How GitHub gave every repository a durable owner Automating cross-repo documentation with GitHub Agentic Workflows GitHub availability report: June 2026 How GitHub Copilot enables zero DNS configuration for GitHub Pages Q1 2026 Innovation Graph update: Open source collaboration is accelerating worldwide How GitHub used secret scanning to reach inbox zero 6 security settings every GitHub maintainer should enable this week How GitHub maintains compliance for open source dependencies Highlights from Git 2.55 Inside the Advisory Database and what happens when vulnerability volume breaks records GitHub and UNDP team up to advance development priorities in Ghana with open source Transitioning as a Hubber Evaluating performance and efficiency of the GitHub Copilot agentic harness across models and tasks I automated my job (and it made me a better leader) GitHub joins coalition advocating for fixes to California AI Transparency Act to protect open source From pledge to practice: Building a more inclusive open source ecosystem How we built an internal data analytics agent How pull request limits are cutting down the noise Getting more from each token: How Copilot improves context handling and model routing What are git worktrees, and why should I use them? GitHub Copilot CLI for Beginners: Overview of common slash commands Accelerating researchers and developers building multilingual AI with a new open dataset How we made GitHub Copilot CLI more selective about delegation GitHub availability report: May 2026 Making secret scanning more trustworthy: Reducing false positives at scale Give GitHub Copilot CLI real code intelligence with language servers From one-off prompts to workflows: How to use custom agents in GitHub Copilot CLI GitHub for Beginners: Answers to some common questions GitHub Universe is back: All together now, in the agentic era GitHub Copilot app: The agent-native desktop experience Still a developer. Just outside. Our latest GitHub Shop collection is here. GitHub for Beginners: Getting started with Git and GitHub in VS Code Beyond the engine: 10 open source projects shaping how games actually get made Building GitHub’s next chapter in accessibility Investigation update: GitHub Enterprise Server signing key rotation Take your local GitHub sessions anywhere Building a general-purpose accessibility agent—and what we learned in the process Raising the bar: Quality, shared responsibility, and the future of GitHub’s bug bounty program GitHub availability report: April 2026 From latency to instant: Modernizing GitHub Issues navigation performance Dungeons & Desktops: 10 roguelikes that never die (because their communities won’t let them) GitHub Copilot individual plans: Introducing flex allotments in Pro and Pro+, and a new Max plan Dungeons & Desktops: Building a procedurally generated roguelike with GitHub Copilot CLI GitHub for Beginners: Getting started with OSS contributions Why age assurance laws matter for developers How researchers are using GitHub Innovation Graph data to reveal the “digital complexity” of nations Improving token efficiency in GitHub Agentic Workflows Agent pull requests are everywhere. Here’s how to review them. Validating agentic behavior when “correct” isn’t deterministic Welcome to Maintainer Month: Celebrating the people behind the code Register now for OpenClaw: After Hours @ GitHub GitHub Copilot CLI for Beginners: Interactive v. non-interactive mode GitHub for Beginners: Getting started with Markdown Securing the git push pipeline: Responding to a critical remote code execution vulnerability Highlights from Git 2.54 Building an emoji list generator with the GitHub Copilot CLI Bringing more transparency to GitHub’s status page How GitHub uses eBPF to improve deployment safety Build a personal organization command center with GitHub Copilot CLI Developer policy update: Intermediary liability, copyright, and transparency Hack the AI agent: Build agentic AI security skills with the GitHub Secure Code Game How exposed is your code? 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GitHub recognized as a Leader in the Gartner® Magic Quadrant™ for Enterprise AI Coding Agents for the third year in a row
Natalie Guevara · 2026-05-23 · via The GitHub Blog

Generating code has never been easier. The bottleneck has shifted to shipping software: reviewing it, securing it, governing it, and deploying it. According to Gartner, “By 2028, asynchronous AI coding agent workflows will improve software engineering team productivity by 30% to 50%, surpassing the 0% to 20% gains from AI code assistants in 2025.” We believe realizing those gains requires agentic capabilities across every stage of the SDLC—not just code generation, but the review, security, and governance layers where work actually gets stuck. GitHub Copilot covers that full surface. Today, developers don’t just ask Copilot to write a function—they assign an agent to an issue and walk away. The agent handles the rest. The developer returns to review, steer, and approve. That’s the shift: from writing code to orchestrating outcomes. The result isn’t just faster code. It’s faster software, shipped with confidence.

That shift is playing out at enterprise scale. GitHub Copilot now serves 140,000 organizations—nearly triple the number from a year ago—with overall growth topping 100% year over year and most users leveraging multiple AI models. GitHub Copilot CLI is also seeing rapid adoption, with usage nearly doubling month over month. Together, these signals point to a platform being used with growing sophistication. As the market expands and new entrants emerge, we believe the depth of GitHub’s native integrations, security controls, and agentic workflows is unmatched for enterprises governing AI-assisted development at scale. Against that backdrop, we’re pleased to announce that Gartner has positioned GitHub as a Leader in the 2026 Magic Quadrant™ for Enterprise AI Coding Agents for the third consecutive year.

The Gartner Magic Quadrant shows GitHub, Anthropic, Cursor, and OpenAI in the 'Leader' quadrant, with GitHub as the highest in 'Ability to execute.' Cognition, Amazon Web Services, Google, and Alibaba Cloud are in the 'Challengers' quadrant; Atlassian, BytePlus, and JetBrains are in the 'Niche players' quadrant; and 'Tabnine' is in the 'Visionaries' quadrant.

As part of the report, Gartner evaluated 12 vendors based on their ability to execute and completeness of vision. GitHub placed as the highest in ability to execute.

According to Gartner, “Leaders in this Magic Quadrant combine strong execution with a clear ability to shape the direction of the market. These vendors stand out for differentiated product experiences, rapid innovation and broad relevance across modern software engineering workflows, including agentic execution that extends beyond in-editor assistance into planning, testing, code review and workflow automation. They also demonstrate strong market resonance with developers and enterprises, supported by viable business models, expanding ecosystems, and enterprise-grade governance, security and operational maturity. While Leaders are not identical in approach, they consistently show that they can translate technical advances into durable market influence and remain central to how organizations adopt agentic software engineering at scale.”  

We believe our continued Leader placement in the 2026 Gartner Magic Quadrant for Enterprise AI Coding Agents underscores the strength in our execution, consistently delivering innovations in agentic development, uniquely: 

  • Honoring developer choice and flexibility by including multiple models from multiple providers and integrating Copilot into multiple surfaces, including code editors, CLIs, IDEs, and GitHub’s web, desktop, and mobile apps.
  • Integrating Copilot not just at the beginning, but throughout the software lifecycle, including issues, code reviews, pull requests, and actions.
  • Providing engineering teams with governance controls to observe, audit, and secure their use of AI.

And since the evaluation, we’ve kept building, sharpening our strengths and putting more power and capability in developers’ hands across the AI-native software lifecycle.

What’s next

We’re building on the strengths that make Copilot a leading tool for developers and enterprises, expanding its core capabilities and deepening its integrations. GitHub is uniquely positioned for the agentic era, and we’re continuing to invest across the full software lifecycle: deeper agentic workflows across every surface where developers work, expanded model choice with intelligent routing, and Copilot performance improvements grounded in understanding not just how code is generated, but how software on GitHub is actually built.

Let’s build. 

Read the full Gartner report to discover how vendors were evaluated and why GitHub was recognized as a Leader. 


Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 

Gartner and Magic Quadrant are trademarks of Gartner, Inc., and/or its affiliates.

Gartner, Magic Quadrant for Enterprise AI Coding Agents, Philip Walsh, Keith Holloway, Matt Brasier, Nitish Tyagi, Neha Agarwal, 20 May 2026. 

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from GitHub. 

Written by

Mario Rodriguez

Mario Rodriguez leads the GitHub Product team as Chief Product Officer. His core identity is being a learner and his passion is creating developer tools—so much so that he has spent the last 20 years living that mission in leadership roles across Microsoft and GitHub. Mario most recently oversaw GitHub’s AI strategy and the GitHub Copilot product line, launching and growing Copilot across thousands of organizations and millions of users. Mario spends time outside of GitHub with his wife and two daughters. He also co-chairs and founded a charter school in an effort to progress education in rural regions of the United States.

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