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Simon Willison 博客·· 2 小时前精选AI 评分77

GitHub 发布 Octoverse 2026 报告:月合并 PR 增至 2.2 亿

GitHub Octoverse 2026

AI 导读

GitHub 在 GitHub Universe 上发布 Octoverse 2026 年度报告。2026 年月合并 PR 一年内增至 2.2 亿,月提交增至 73.8 亿,月新增仓库翻倍至 3030 万,增长多集中在下半年。报告还按 NAICS 行业分类统计,并用微调多语言嵌入模型和 LLM 分类处理行业归属与 VPN 偏差,另单列涉及互操作性或逆向工程的仓库数据。

推荐理由

作者亲历 GitHub Universe 发布现场,摘出合并 PR、提交和新仓库三项关键数字,可据此了解智能体工程对开发平台的影响。

正文 · 原文

28th October 2026 - Link Blog

GitHub Octoverse 2026. I'm at GitHub Universe today (GitHub gave me a free ticket through their "GitHub Stars" program). EVP Jay Parikh just announced this year's Octoverse report, and highlighted these numbers in particular:

Photo of a conference keynote stage: a wide curved screen shows three line charts side by side, with a speaker in a black sweater and dark jeans standing at its right edge beneath an overhead lighting rig. Each chart has a large colored headline number above it and a shaded line that runs low and nearly flat across the left side, then curves sharply upward on the right to end in a dot at its peak. Left, in green: "220M" "Merged PRs per month", y-axis 0M, 50M, 100M, 150M, 200M. Middle, in magenta: "7.38B" "Commits per month", y-axis 0B, 2B, 4B, 6B, with the most dramatic, almost vertical final spike. Right, in orange: "30.3M" "New repos per month", y-axis 0M, 10M, 20M, 30M, with a bumpier, more gradual climb. All three share the x-axis labels '23, '24, '25, '26.

This is a pretty stark representation of the impact of agentic engineering on GitHub. In 2026, merged pull requests tripled in less than a year to 220 million per month. Commits more than tripled to 7.38 billion per month, with most of that increase in the second half of this year. New repository rate doubled this year, to 30.3 million per month.

The report includes new numbers by industry, and breaks out numbers for repositories that involve "interoperability or reverse engineering". The methodology section includes notes about how they did this:

Top countries by pushes to public repositories, adjusted by profile location. Pushes from each country were summed across the Octoverse year. To adjust for biases caused by VPN usage, LLM classification was used to extract the ISO 3166-1 alpha-2 code from the profiles of GitHub users who contributed pushes during this period [...]

Industry. Public repositories created 2022 to 2026 were sorted into NAICS sectors by a fine-tuned multilingual embedding model using name, description, topics, and README, from random samples per year. [...]

Interoperability. Counts public repositories created each year whose name, description, topics, or README mention interoperability or reverse engineering, or related terms, such as clean room implementation, drop-in replacement, or protocol re-implementation.

来源:Simon Willison 博客 · simonwillison.net