The announcements were published by Jay Parikh, Microsoft's executive vice president of CoreAI, whose organization includes GitHub. The GitHub Copilot app is built for agent work from issue to merge: writing specs, design discussions and telemetry analysis. Copilot projects runs agents across several repositories in parallel managed sessions, and session continuity lets the same cloud session continue across the app, VS Code, the command line and the web.
Copilot Fusion evaluates what a task needs and decides how to run it across one or more models. According to GitHub, Fusion Max came within two points of Opus 5.5 Max on the Artificial Analysis Coding Agent Index at half the cost and 40% less time per task. Copilot automations runs AI workflows in the cloud on an event or schedule, such as issue triage and code review, and can propose improvements to itself for approval. GitHub says Copilot code review Max posted the highest F1 score on ReviewBench for high-severity issues.
Starting on the day of the announcement, GitHub Enterprise customers can use all Copilot features without buying a separate subscription, paying for the AI credits they use. For now this is available through sales, with self-serve coming later. Copilot Business and Copilot Enterprise customers can keep their current plans. GitHub did not publish credit prices in the announcement.
The Octoverse report came out the same day: 17.9 billion code pushes in the past 12 months, more than 2024 and 2025 combined, and more than 40% of pull requests in September started with an agent, up from 17% in March. According to Tom's Hardware, GitHub added 4 million CPU cores and 160 petabytes of storage this year to keep up. The company is also moving to a multi-region deployment on Azure, expected to be completed early next year.
