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.
