[3/3] Octoverse 2025: A new developer joins GitHub every second as AI leads TypeScript to 1 (Category Engineering)
Incarcerated parsing GitHub’s report on the world of open source and the impact of AI on development productivity, as well as the final conclusions.
🌐 Open source in the age of AI: growth and new leaders Activity in open repositories has reached historic highs. In 2025 yearly 1,128 Billions in public and open source projects (+13per cent). In general, on GitHub already 395 Millions of open repositories (+20per cent)And within a year, the community merged. 518,7 Millions of pull requests in public projects (+29per cent). The rapid growth is associated, among other things, with the AI boom: 6 from 10 The fastest growing projects of the year are tools for AI infrastructure (Frameworks for model launch, orchestration, etc.). For example, vllm, ollama, ComfyUI, Continue, etc. At the same time. 60Top percent10 The most popular repositories by the number of contributors are also associated with AI – the community is invested in basic AI libraries and engines like HuggingFace Transformers, llama.cpp, as well as in the AI functions of popular tools. (OpenAI Codex for VS Code) The open source ecosystem is not limited to AI. Along with the rise of AI projects retain strong positions and classic directions: for example, the open game engine Godot, the home IoT platform Home Assistant and the Expo framework for mobile development are consistently among the top projects in terms of the number of contributors. The analysis shows that in addition to AI, developers are showing increased interest in efficiency tools. Means for deterministic assembly and dependency management (Nix, UV) To make the code work on any machine. High-performance frameworks (Tailwind CSS, Ghostty) for quick results Projects that give greater control over the environment (For example, secure browsers like Zen Browser) The trend towards decentralization of social networks continues: the success of the Bluesky platform shows the demand for open protocols and independence.
🚀 AI increases development productivity. 2025Productivity jumped, with developers doing more and faster across all key metrics, thanks in part to new AI tools. Monthly on GitHub now
- It's closing.4,25 million (against ~3,4 million 2024)
- Pull request mergers became 43,2 million (against ~35 million 2024) The number of commissions increased with65 million 82 million spring 2025Copilot preview "coding agent" (March) Release of Copilot Code Review (April)These numbers went up dramatically. In March, the developers closed on 1,4 more than in February and in July 2025 record-breaking 5,5 Millions in a month. The developers themselves confirm the effectiveness of AI assistants: according to the results of the interview, 72,6Percent of Copilot Code Review users reported that AI auto-recommendations improved their code review process. Overall, increased activity (on25–30% y/y for different signals n) AI tools not only save time when writing code, but also allow you to bring tasks to completion faster, reducing “friction” in teamwork.
It is clear from this report that The developer community is growing and changing faster than ever, and one of the main reasons is the integration of AI into everyday programming practices. Artificial intelligence has already become the standard assistant, accelerating the development of projects and influencing the choice of languages. (TypeScript's top spot owes much to AI trends). AI projects capture the center of attention in the open source community, but at the same time the ecosystem remains diverse: along with AI, tools for reliable builds, productivity and user freedom are in demand.
It’s going to be even more fun – as AI tools evolve, we’re already seeing how fast the software development industry and the professions of engineers, technical executives, product managers, etc. are changing. Living in the era of technological revolutions is extremely interesting:)
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