In just a few weeks, GitHub Copilot agent has gone from launch to rapid acceleration. The inflection point in late June, when the agent became available to all Copilot Business users, marks a clear step-change. Since then, the number of pull requests authored by the agent has climbed steeply — surpassing 1,500 per day and still rising.

While still in its early stages, this momentum suggests that AI agents are moving beyond passive assistance and into active contribution. The Copilot agent is writing code, opening pull requests, and participating directly in developer workflows.

As organizations begin to operationalize AI-driven development, the implications are significant: faster iteration cycles, reduced routine coding overhead, and the emergence of a new kind of teammate — one that never sleeps, scales instantly, and improves with every commit.

Where does this lead? The trend is early but accelerating — and it raises big questions. Will the pace continue? How will teams adapt as agents become part of everyday development? Developers may soon need new ways to guide, optimize, and manage these tools to get the most value while minimizing risk.