The third shift is in the way that AI is reshaping developer choice, not just code. In the past, developer choice referred to choosing an IDE, language, or framework. In the present timeframe, that has changed. GitHub now sees a correlation between the rapid adoption of AI tools and evolving language preferences. This and other shifts suggest AI now influences not only how fast code is written, but which languages and tools developers use. As the report states, “Agents are here. Early signals in our data are starting to show their impact, but ultimately point to one key thing: we’re just getting started and we expect far greater activity in the months and years ahead,” the company said.
The GitHub report cited more than 4.3 million AI-related repositories, noting record-level activity across repositories. Developers created more than 230 new repositories every minute, merged 43.2 million pull requests on average each month (+23% year over year), and pushed nearly 1 billion commits in 2025 (+25.1% year over year)—including a record of nearly 100 million commits in August alone.
GitHub’s reference to 2025 covers the time period of September 1, 2024, through August 31, 2025. In other findings:
