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Simon Willison·· 4 小时前AI 评分67

GitHub Octoverse 2026：合并 PR 月增两倍至 2.2 亿

GitHub Octoverse 2026

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GitHub 在 Universe 大会上发布 Octoverse 2026 报告，EVP Jay Parikh 重点公布了智能体工程带来的增长数据。2026 年合并 pull request 在不到一年内增至每月 2.2 亿，为原来的三倍；提交量增至每月 73.8 亿，同样超过三倍，且大部分增长集中在下半年。新建仓库速率今年翻倍，达到每月 3030 万。报告新增按行业划分的数据，并单独统计名称、描述、话题或 README 中涉及互操作性或逆向工程（如 clean room implementation、drop-in replacement、协议重实现）的公开仓库。

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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.

Tags: github, ai, generative-ai, llms, coding-agents, disclosures, agentic-engineering

来源：Simon Willison · simonwillison.net

数据与训练行业动态#行业动态#数据/训练#GitHub