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On November 3, 2026, OpenAI's Greg Brockman introduced Pando, an in-house Git backend. The backend is aimed at ultra-large monorepos and can scale to ultra-large monorepos. According to related reports, Pando is compatible with the Git protocol and clients; in production, median push latency has been reduced to about one-fifth of its previous value, and push latency has dropped by about 80%. It currently carries nearly 1 PB of Git data per day. The reports also said that the multi-branch concurrent writes and massive concurrent reads brought by Codex had caused the old system to have slow pushes and pulls, with reliability at one point below 90%. Pando changed to serializable per-ref operations, maintains only causal consistency across the entire repository, and places packs in object storage for reuse across clients. The project went from inception to production in about 10 weeks using Codex, was rewritten in Rust, and first used a dual-write proxy before gradually shifting traffic in stages. Greg Brockman said the team insists on continuing to use Git, that enabling Pando requires no change to the developer experience, and that they are considering opening the backend for external use.
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Greg Brockman
OpenAI Launches In-House Git Backend Pando, Cutting Push Latency by About 80%
OpenAI has built Pando, a new Git backend for ultra-large monorepos, cutting push latency by about 80% while engineers and agents continue to use Git as before; it now handles nearly 1 PB of Git data per day. Greg Brockman said the team insisted on continuing to use Git, so enabling Pando requires no change to the developer experience, and they are considering opening the backend to external use.
Shao Meng
OpenAI releases Pando: a Git backend rebuilt for agent-scale parallel pushes, with median push roughly 5x faster
OpenAI has released Pando, its self-developed Git backend, compatible with the Git protocol and clients. In production, median push latency has dropped to about 1/5 of the original, and it can serve nearly 1 PB of Git data per day. The multi-branch concurrent writes and massive concurrent reads brought by Codex once made the old system slow to push and pull, with reliability at one point below 90%. Pando instead makes individual refs serializable, maintains only causal consistency across the whole repository, and places packs in object storage for reuse across clients. The project went from inception to production in about 10 weeks using Codex, was rewritten in Rust, and rolled out via a dual-write proxy followed by phased traffic migration.
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