@github: Open source is growing across economies and developer communities. In Q1 2026, outbound collaboration jumped 16% quarte…
Summary
GitHub reports a 16% quarter-over-quarter jump in outbound collaboration in Q1 2026, highlighting significant growth in open source contributions across the EU, India, and Singapore since 2020.
View Cached Full Text
Cached at: 08/05/26, 10:29 PM
Open source is growing across economies and developer communities. 🌍
In Q1 2026, outbound collaboration jumped 16% quarter over quarter.
Since Q1 2020: 🇪🇺 EU: 1.3M → 3.8M 🇮🇳 India: 160K → 690K 🇸🇬 Singapore: 58K → 360K https://t.co/xszXZXHySq
Similar Articles
@danshipper: GitHub has a front-row seat to how code is changing now that everyone—and their army of agents—can ship code. In March …
GitHub COO Kyle Daigle discusses the surge in AI agent-created pull requests (17 million in March) and the projected 14 billion commits this year, emphasizing open-source maintainer control, usage-based pricing over per-seat licensing, and the collapsing developer/non-developer distinction as AI tools enable non-developers to build apps.
@Fluyeporlaweb: The 10 repos that have grown the fastest this June on GitHub: 1. pewdiepie-archdaemon/odysseus PewDiePie (111M subscrib…
A Twitter thread lists the 10 fastest-growing repositories on GitHub in June 2025, covering AI workspaces, token compression, agent prompt optimization, video generation, voice cloning, stock analysis, research agents, and more.
@heynavtoor: 10 GitHub repos that defined 2026 so far. Bookmark this list. 1. OpenClaw Peter Steinberger went from 9,000 to over 300…
A curated list of the top 10 GitHub repos that have defined 2026 so far, including OpenClaw (personal AI assistant), Anthropic's skills ecosystem, agent frameworks from Nous Research, and projects by Andrej Karpathy.
@heynavtoor: 10 GitHub repos that Anthropic, OpenAI, and Google quietly open-sourced for the public in 2026. In 2026, the three bigg…
The article lists 10 significant open-source repositories from Anthropic, OpenAI, and Google that developers can use to build AI applications, including agent frameworks, SDKs, and educational resources.
@rohanpaul_ai: MIT study. Code volume surges by 300%, but output increases by only 30%: The AI dividend meets an awkward reality. They…
An MIT study of over 100,000 GitHub developers finds that AI coding tools increase code volume by up to 300% but only boost shipped software by 30%, highlighting bottlenecks in human review and integration.