GitHub says AI code surge drove monthly commits to 7.4 billion, requiring 4M extra CPU cores and 160PB storage
GitHub discloses massive infrastructure expansion to handle sixfold growth in code commits driven by AI agents.
GitHub, the world's largest code repository, announced that it added 4 million CPU cores, 160 petabytes of storage, and 50 terabits per second of networking capacity over the course of this year to manage the influx of AI-generated code, according to a Tom's Hardware report on GitHub's technical report. Monthly code commits on the platform grew sixfold year-over-year.
GitHub's technical report provides specific monthly figures: commits stood at 1.4 billion in April 2026, climbed to 2.9 billion in August, and reached 7.4 billion in September. The total number of code pushes over the past 12 months hit 17.9 billion, exceeding the combined totals of 2024 and 2025. Merged pull requests also increased fourfold.
The company attributes this surge to the adoption of agentic AI. By September 2026, more than 40% of pull requests were initiated by an agent, up from 17% in March 2026. Repositories that start using AI generally see eight times the activity compared to handcrafted operations.
This explosion in code activity places disproportionate strain on CI/CD pipelines. Every commit or merged pull request triggers automated checks such as linting, unit tests, and integration tests. GitHub has had to reengineer its backend to decouple storage from compute as much as possible, but given the rapid demand growth, further hardware upgrades are likely required soon.