生成代码从未如此简单。瓶颈已转移到软件交付环节:审查、安全、治理和部署。据 Gartner 预测,“到 2028 年,异步 AI 编码智能体工作流将使软件工程团队的生产力提升 30% 至 50%,超越 2025 年 AI 代码助手带来的 0% 至 20% 的提升。”我们相信,要实现这些提升,需要在软件开发生命周期的每个阶段都具备智能体能力——不仅是代码生成,还包括实际工作中容易卡住的审查、安全和治理环节。GitHub Copilot 覆盖了所有这些层面。如今,开发者不再只是让 Copilot 编写一个函数,而是将一个智能体分配给某个 issue,然后放手不管。智能体会处理其余工作。开发者只需回来进行审查、指导和批准。这就是转变:从编写代码到编排成果。结果不仅是更快的代码,更是更快的软件,并能自信地交付。
这一转变正在企业级规模上展开。GitHub Copilot 现已服务于 14 万个组织——几乎是去年同期的三倍——整体年同比增长率超过 100%,且大多数用户同时使用多个 AI 模型。GitHub Copilot CLI 也正在被快速采用,月使用量几乎翻倍。这些信号共同表明,该平台正被以日益复杂的方式使用。随着市场扩张和新进入者涌现,我们相信,对于大规模治理 AI 辅助开发的企业而言,GitHub 的原生集成、安全控制和智能体工作流的深度是无可匹敌的。在此背景下,我们很高兴地宣布,Gartner 已将 GitHub 评为 2026 年企业 AI 编码智能体魔力象限™ 的领导者,这已是连续第三年。
作为该报告的一部分,Gartner 根据执行能力和愿景完整性对 12 家供应商进行了评估。GitHub 在执行能力方面排名最高。
根据Gartner的说法,“该魔力象限中的领导者兼具强大的执行力与清晰的市场方向塑造能力。这些供应商凭借差异化的产品体验、快速的创新以及在现代软件工程工作流中的广泛适用性而脱颖而出,其中包括超越编辑器内辅助、延伸至规划、测试、代码审查和工作流自动化的智能体执行能力。他们还展现出与开发者及企业的强烈市场共鸣,这得益于可行的商业模式、不断扩展的生态系统以及企业级的治理、安全与运营成熟度。虽然领导者的方法不尽相同,但他们始终表明,能够将技术优势转化为持久的市场影响力,并成为组织大规模采用智能体软件工程的核心力量。”
我们相信,在2026年Gartner企业AI编码智能体魔力象限中持续位列领导者,凸显了我们在执行层面的实力,以及在智能体开发领域持续交付创新的独特能力:
- 尊重开发者的选择与灵活性,纳入来自多家供应商的多种模型,并将Copilot集成到多个界面中,包括代码编辑器、CLI、IDE以及GitHub的网页、桌面和移动应用。
- 将Copilot不仅集成到开发初期,而是贯穿整个软件生命周期,包括议题、代码审查、拉取请求和操作。
- 为工程团队提供治理控制手段,以观察、审计和保护其AI使用行为。
自评估以来,我们持续建设,强化自身优势,并在AI原生软件生命周期中为开发者赋予更强的能力。
下一步计划
我们正在巩固让 Copilot 成为开发者和企业领先工具的优势,扩展其核心能力并深化集成。GitHub 在智能体时代拥有独特优势,我们将持续投资于整个软件生命周期:在开发者工作的每个界面深化智能体工作流,通过智能路由扩展模型选择,并基于对 GitHub 上软件实际构建方式(而非仅代码生成方式)的理解来提升 Copilot 性能。
让我们开始构建。
阅读完整的 Gartner 报告,了解供应商如何被评估以及 GitHub 为何被认定为领导者。
Gartner 不认可其研究出版物中描述的任何供应商、产品或服务,也不建议技术用户仅选择评级最高或获得其他称号的供应商。Gartner 研究出版物由 Gartner 研究机构的意见构成,不应被理解为事实陈述。Gartner 对本研究不承担任何明示或暗示的担保,包括任何适销性或特定用途适用性的担保。
Gartner 和 Magic Quadrant 是 Gartner, Inc. 和/或其关联公司的商标。
Gartner,企业 AI 编码智能体魔力象限,Philip Walsh、Keith Holloway、Matt Brasier、Nitish Tyagi、Neha Agarwal,2026 年 5 月 20 日。
本图表由 Gartner, Inc. 作为更大研究文档的一部分发布,应在整个文档的背景下进行评估。Gartner 文档可向 GitHub 索取。
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.
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.