How AI Is Changing Developer Choices and Making TypeScript King
Recently, TypeScript has become the most popular programming language on GitHub. This is a big shift, as it now beats both JavaScript and Python in usage. The main reason for this change is the growing demand for AI-assisted development tools. GitHub’s latest report, called Octoverse 2025, highlights these trends and explains how AI is shaping the future of coding.
TypeScript Takes the Lead on GitHub
In August 2025, TypeScript officially became the most-used language on GitHub for the first time. This marks a significant milestone, showing how developers are increasingly turning to typed languages. TypeScript’s safety features make it easier to write reliable code, especially when working on complex projects or using AI tools. Most popular front-end frameworks now default to TypeScript, further pushing its adoption.
While Python still dominates AI and data science, the overall activity on GitHub shows that TypeScript and JavaScript ecosystems are thriving. More projects are being built with TypeScript, and developers are choosing it for its reliability and modern features. This trend reflects a broader shift towards typed languages, which are seen as better suited for AI-assisted development workflows.
AI Fuels Rapid Growth and Developer Preferences
AI is not just changing the tools developers use; it’s redefining their entire workflow. The report shows that over 1.1 million public repositories now incorporate large language model (LLM) SDKs, with nearly 700,000 of those added in the last year. This surge indicates how AI is becoming an integral part of coding, helping automate tasks and improve productivity.
Developers are merging a record number of pull requests—over 518 million in 2025, a 29% increase from the previous year. AI tools like GitHub Copilot are widely adopted, with 80% of new developers using it within their first week. This rapid adoption means AI is influencing not only how fast code is written but also which languages and tools are chosen. The way developers pick their programming environment is evolving, driven by AI’s capabilities.
The Broader Impact of AI on Open Source and Security
The report also highlights the massive growth in AI-related open source projects. There are now more than 4.3 million repositories connected to AI, with new activity reaching record levels. Developers are creating over 230 new repositories every minute, showing how fast this space is expanding.
In terms of contributions, GitHub saw over 1.12 billion updates in public projects in 2025. The number of commits hit nearly 1 billion, with August alone seeing close to 100 million commits. These figures demonstrate how AI is accelerating development and collaboration across the platform.
Security is also improving. The report notes that fixing critical security issues has become 30% faster, and fewer repositories are receiving critical alerts—26% fewer than before. This suggests that AI tools are helping developers identify and resolve vulnerabilities more efficiently, making software safer.
In conclusion, AI is not just a supporting tool anymore; it’s shaping the entire coding landscape. From making TypeScript the top language to speeding up security fixes, AI is changing how developers work and what they choose to use. As the report suggests, we are just at the beginning of this transformation. Expect even more dramatic changes in the coming months and years.















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