[2/4] Comparative analysis of Octoverse 2023–2025 GitHub (OpenSource Category)
Let's continue the comparative analysis These reports from GitHub discuss AI:)
Projects with artificial intelligence Here we can talk about the increase in number and penetration.
- In 2023 This year, AI projects were launched. The number of projects related to generative AI has increased by 248percentage 2022 year. By the middle. 2023The number of new repositories with generative AI exceeded the final value of the total 2022 years. For the first time, such projects were included in the top-10 The most popular repositories by number of contributors (Stable Diffusion and LangChain). Besides, 2023 Open-source developers actively experimented with models (OpenAI and others)This has pushed AI projects from a research niche to the mainstream. The number of developers involved in generative AI projects has increased 148Percent per year.
- In 2024 The wave of AI in development continued to grow. On GitHub, the end 2024 there were about 137 000 Public projects related to generative AI - almost double the growth (+98%) year by year. The volume of contributions to such projects has also increased sharply: the number of total contributions to the AI repository has increased. 59% compared to the previous year. I wonder what. 6 from 10 The fastest growing open-source projects by number of contributors 2024 The year was associated with the infrastructure of AI (models, orchestration, optimization). This indicates that the community is increasingly involved in the development of AI tools, going beyond just code generation.
- In 2025 AI projects confidently moved into the category of mass. Totally GitHub to 2025 There were a number of4,3 Millions of repositories labeled as AI-related (private). More than that. 1,1 Millions of public repositories use large language SDKs (LLM)and 693 thousand These projects were created in just the last year. (+178% compared to August 2024). In other words, nearly one in four new repositories 2025 It contained AI/ML components. In fact, 60Top percent10 The most popular open source projects 2025 year (number of participants) They have AI focus.
Finally, we can conclude that with 2023 along 2025 AI has gone from an experimental trend to an integral part of the development ecosystem.
Implementation of AI tools among developers
- In 2023 year 92Percentage of developers have tried AI programming tools in one way or another (For example, GitHub Copilot). This indicates an almost complete penetration of AI-based assistants into the workflows of developers around the world. In addition, nearly a third of all open-source star projects on GitHub had at least one maintainer using GitHub Copilot. GitHub provided free Copilot for OSS-supporting maintainers, and many took advantage of this: AI code augmentation has become a ubiquitous assistant in the open-source community. It seems that this penetration is due to the fact that Copilot was built into GitHub itself:)
- In 2024 According to GitHub, more 1 000 000 Students, teachers, and open-source developers took advantage of Copilot through a free education and OSS program. Over the past year, the number of users has increased. 100%. In general, the guys continued to work on expanding Copilot’s reach inside GitHib and began instilling it in beginners from their early days on the platform. GitHub Copilot Free release at the end 2024This led to a noticeable jump in registrations and activity on the platform. As a result, 2025 New users almost immediately start working with AI: 80The percentage of new developers included Copilot in their first week on GitHub. In other words, for the new generation of coders, the AI assistant has become the default tool. In the end, 2025 Almost every beginner immediately masters AI code generation, cementing its role as a standard part of the developer’s workflow.
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