InfraOpenAIConfirmed
Story 6 of 9 in the Monday 2 November editionOpenAI details Pando Git backend serving nearly 1 PB a day to Codex agents
Published on 2 November 2026, OpenAI’s custom distributed Git storage engine replaces global reference locks with per-branch causal consistency and trims median monorepo push latency by almost five times.

OpenAI engineering published the architecture of Pando on 2 November 2026, detailing how it rebuilt internal Git hosting after parallel Codex coding agents pushed reliability on its legacy monorepo backend below 90%. Conventional replicated Git servers serialise reference updates through three-phase commits or a shared write-ahead log, turning millions of short-lived agent branches into a global lock bottleneck and inflating reference advertisements past 100 MiB.
Pando separates immutable packfiles in horizontally scalable blob storage from per-branch metadata logs enforced under causal consistency rather than global linearisability. When a developer or Codex worker pushes to a feature branch, Pando advertises only a designated trunk branch so clients upload thin deltas, keeping median push packfiles below 20 KiB and 99th-percentile pushes under 3 MiB. Fetch traffic reads immutable cached packfiles directly, hitting local disk caches on more than 99% of requests.

OpenAI has contributed client-side patches including parallel pack indexing and explicit force-with-lease object negotiation upstream to Git, while keeping the Pando server infrastructure internal.
Key numbers
- Nearly 5 times lower median Git push latency (roughly an 80% reduction).
- Nearly 1 PB of Git data served per day, peaking above 57 TB in a single hour.
- Under 20 KiB median push packfile size and under 3 MiB at the 99th percentile.
- Over 99% local disk cache hit rate on packfile fetches.
Sources
- PrimaryScaling Git at OpenAI engineering postopenai.com
- On XOpenAI Developers Pando announcement on Xx.com
The rest of the day
Read the whole day01Coding agentDeepSeek
DeepSeek Harness adds Creator Mode for building live UI plugins in chat
Announced on 2 November 2026, the fourth session mode in DeepSeek’s MIT-licensed desktop and local web agent harness generates, lints, themes and hot-installs custom interface plugins inside an active workspace.
02Open sourceDeep Principle
Deep Principle releases Hydrogen-1.0 open-weight model for chemistry and materials
Built on Z.ai’s GLM-5.3 and released under the MIT licence on 2 November 2026, Hydrogen-1.0 pairs laboratory notebook trajectories with reinforcement learning across molecular, materials and life-science workflows.
03ResearchOpenAI
OpenAI introduces LifeVal to test AI agents on everyday household and civic tasks
Grounded in government time-use diaries and a survey of 3,995 people, the evaluation published on 2 November 2026 measures browser use, computer use and connectors across seven personal-life domains.
04ModelMeituan
Meituan launches LongCat-2.5 with 1.6T parameters and discrete visual tokens
Detailed in a 1 November 2026 technical report and opened on the LongCat API on 2 November 2026, the Mixture-of-Experts model activates roughly 48B parameters per token across text and native-resolution images.
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