GitHub is hitting a breaking point as AI coding agents flood the platform with far more commits, pull requests, searches, and CI jobs than its older infrastructure was built to handle.

Mitchell Hashimoto, one of GitHub’s earliest users, is moving Ghostty, a project with 52 stars, after repeated outages turned everyday maintenance into blocked reviews, stuck merges, and failed automation.

AI does not just generate more code. It generates more repository events, more pull requests, more tests, more builds, more retries, and more logs.

That changes the load shape of a platform built for human pacing.

A developer who once pushed a few careful changes can now push many AI-assisted iterations in the same span, and every iteration wakes up CI, indexing, storage, and review systems. The bottleneck is no longer writing code. It is absorbing code.