OpenAI Scales Git for Large Repositories
openai
| Source: HN | Original article
OpenAI created Pando, a Git‑compatible backend designed to handle the massive scale of development enabled by Codex.
OpenAI announced on its blog that it has replaced its internal Git infrastructure with a new system called Pando, a Git‑compatible backend built to cope with the “Codex‑scale” of development the company’s AI coding agents generate. The post, titled “Scaling Git at OpenAI” and dated 2 November 2026, explains that the monorepo’s load grew “at a staggering pace” as engineers and autonomous agents began submitting many changes in parallel, pushing reliability below 90 percent.
Pando was designed to sit behind existing Git workflows, so developers do not need to change tools or habits. The new backend now handles close to a petabyte of Git data each day and has slashed median push latency by almost 80 percent, delivering pushes up to five times faster than the previous system. OpenAI says the platform already powers all internal development and is engineered for higher concurrency across branches.
The rollout matters because it provides a concrete glimpse of the infrastructure pressure AI‑generated code can place on traditional version‑control systems. As coding agents become more capable, the volume of automated commits and branch activity can outstrip the capacity of legacy tools, threatening reliability and developer velocity. OpenAI’s solution suggests a path forward for other organisations that rely on large monorepos and increasingly automated code contributions.
Going forward, observers will watch whether OpenAI opens Pando to external partners or the broader open‑source community, and how quickly other AI labs adopt similar back‑ends. Further performance metrics, reliability improvements and integration with CI pipelines will indicate whether Pando sets a new benchmark for scaling version control in the era of AI‑assisted software development.
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