Internal data disclosed by Anthropic paints an exaggerated picture: 80% of the company's code is written by Claude, and engineers' quarterly code delivery volume reaches eight times the average level between 2021 and 2025. Even tasks such as code reviews and merge approvals are largely handled by Claude.

However, the "behavior pattern" of AI writing code is completely different from that of humans. It prefers to submit PRs with extremely fine granularity, constantly submitting throughout the day, and causing the number of test cases to surge tenfold - this approach directly crashed the CI system: the number of CI run tasks increased 25 times within six months. Anthropic made three patches - adding core, sharding, and daily forced restarts - but all failed.

Finally, they listened to Claude's suggestion and completely rebuilt the service, adopting a new distributed stateless architecture, which truly solved the CI overload issue. The signal of this incident is clear: the impact of AI programming has spread from the question of whether "programmers can finish writing code" to the capacity of the entire software engineering system. When writing code is no longer constrained by human rhythms, the first things to fail are often the pipelines designed according to human habits.