🤖 AI Summary
GitHub’s 2025 report shows an AI-driven inflection point: the platform grew by 36+ million new developers (now 180M+ total), coinciding with the release of Copilot Free and record activity — ~230 new repositories per minute, nearly 1 billion commits (+25% YoY), and a 43.2M monthly average of pull requests merged (+23% YoY). For the first time TypeScript became the most-used language on GitHub (overtaking Python and JavaScript in August 2025), reflecting a shift toward typed languages that make agent- and LLM-assisted coding more reliable. Generative AI adoption surged: 1.1M public repos now reference an LLM SDK (693,867 created in the last year, +178% YoY), and ~80% of new devs use Copilot in their first week.
Technically, the data signals structural change: private-repo work dominates (≈81.5% of contributions) and private repos grew faster (+33% YoY), while Jupyter notebooks (2.4M, +75%) and Dockerfiles (1.9M, +120%) rose as experimentation and reproducibility primitives for LLMs and agents. Early agent tooling (Copilot agent preview, Copilot code review) correlates with higher throughput and developer effectiveness (72.6% reported improvement). Geographic expansion — India added ~5.2M devs and is projected to hit 57.5M by 2030 — underscores global AI talent growth and suggests AI is reshaping not only how fast we build, but which languages and workflows teams choose.
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