GitHub has introduced Agent HQ, its next evolution as an agentic platform, at GitHub Universe 2025, changing the way developers build and collaborate with AI.
The company also revealed that it now has 180 million developers globally, its fastest growth ever, with one new developer joining every second. Of these, 21.9 million developers are building on GitHub in India, making it the second-largest developer community in the world after the United States. The company projected that the number will reach 57.5 million by 2030.
According to GitHub COO Kyle Daigle, “India’s rise as a global technology leader is undeniable, driven by its surging developer community and the new possibilities of agentic AI.”
He added that AI is “expanding what developers can do, accelerating how fast they ship, and empowering millions more in India to begin their software development journey.”
Agent HQ is GitHub’s new open ecosystem that connects multiple AI agents, including those from Anthropic, OpenAI, Google, Cognition, and xAI, directly within GitHub through the existing Copilot subscription. The goal, Daigle said, is to make AI collaboration “powerful, secure, and seamlessly integrated into the workflow developers already trust.”
The new platform brings together a mission control feature that lets developers assign and track multiple AI agents, whether in GitHub, VS Code, mobile, or the CLI. This command centre enables them to manage AI-driven coding tasks, with finer controls over identity, access, and merge conflicts.
A new VS Code update introduces Plan Mode, helping developers co-design step-by-step coding plans with Copilot before implementation.
“Agent HQ isn’t about the hype of AI. It’s about the reality of shipping code,” said Daigle.
GitHub is also focusing on governance and transparency. A new Copilot metrics dashboard allows organisations to measure AI’s impact on productivity, while the Code Quality preview provides visibility into maintainability and reliability across projects. Enterprise administrators gain more oversight through a dedicated agent control plane that governs AI access and model usage.
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