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Simon Willison·· 3 h前AI score67

GitHub Octoverse 2026

GitHub Octoverse 2026

AI introduction

GitHub released its Octoverse 2026 report at GitHub Universe, with EVP Jay Parikh sharing key figures. Merged pull requests grew to 220 million per month within a year (roughly tripled), commits more than tripled to 7.38 billion per month, with most of the growth in the second half of the year; the new repository creation rate doubled to 30.3 million per month.

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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.

Source: Simon Willison · simonwillison.net

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