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Anthropic replaced git for its monorepo to keep up with agent-scale merges

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AnthropicAI@AnthropicAI

New on our Engineering blog: Creating in-house source control. In May, we merged around 2,500 code changes per day. In September, we merged more than 30,000 per day. As a result, we became bottlenecked by developer infrastructure built for human (rather than agent) scale. Here, we share how we built a new version control system—and fully migrated our monorepo from git—in five months: https://t.co/wzNkwHs7IN

Why it matters

Agents multiplied merge volume roughly twelvefold in five months, which broke git-based tooling built for humans. Useful evidence for planning source control and CI capacity for -heavy teams.

Terms in this piece · Glossary
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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