Underpinning it is Copilot Fusion, which picks between one or more models depending on what a task needs, spanning reasoning, code generation, debugging and tool use. GitHub says Fusion Max scored 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 projects, available natively in the app from today, let agents run across multiple repositories in parallel, managed sessions, while session continuity lets the same cloud agent session follow you between the GitHub app, VS Code, the CLI and the web.

Quality gets its own tier: the new Copilot code review Max posted the highest F1 score on ReviewBench for high-severity issues, a benchmark GitHub itself introduced earlier in October and modelled on over 100 million real pull requests on the platform. Lite and Balanced remain for everyday reviews. Automations, cloud-run AI workflows for tasks like issue triage and code review, can now learn from their outcomes and propose improvements for approval. GitHub also says it added 4 million CPU cores, 160 PB of high-speed storage and 50 Tb/s of network capacity this year, and expects to finish migrating to a multi-region Azure deployment early next year.

For Enterprise customers, all Copilot features, including the app, code review and automations, are now included without a separate subscription, with usage billed through AI credits. It is available through GitHub Sales today, with self-serve to follow. Existing Copilot Business and Enterprise customers can keep their current plans or switch when ready.