Although much of the reason for these languages being the fastest-growing is due to their corporate utility in the AI era, it doesn't mean that they are irrelevant to vibe coders. Neither does it mean that vibe coders should use these languages simply because they are being used heavily in the corporate world due to agentic coding becoming the new standard.
What's useful to take away from this article is the types of applications they are being used in and why they are so effective with AI / agentic coding practices.
1. TypeScript — 66.6% YoY Growth
TypeScript is the typed version of the legendary web language called JavaScript, which was invented for easy-to-do browser coding.
And now, in the age of AI, it's become quite clear that coding agents work better when they use a strongly typed language, which means less ambiguity about the type of data used in the program.
So since TypeScript adds static typing and JavaScript is a dynamically typed language, companies are now finding out that they can take on much larger rewrites and migrations of websites and web apps in TypeScript using AI.
This is likely one of the main reasons we see TypeScript beating out both Python and JavaScript in GitHub's latest YoY programming language data.
TypeScript grew 66.63% year over year in monthly contributors and overtook both Python and JavaScript to become the most-used language on GitHub by contributor count in August 2025.
Source: GitHub Octoverse 2025
2. Rust — More Than Doubled Since 2022
High-performance software has always needed languages that were low on abstraction and closer to the CPU and hardware, and historically those languages were C and its younger brother C++.
But in 2015, a new language named Rust was released that was intended to compete with C and C++ on raw speed while introducing new code-safety features that prevent your code from exploding and sinking the entire ship.
However, it wasn't so easy to use since it required very structured programs and lots of jumping through hoops.
Yet Rust saw slow but steady growth for years, but it's not until lately that developers and companies are realizing that Rust may just be the perfect language for coding high-performance software with a coding agent.
One particularly interesting reason is that Rust's strict compiler can give the coding agent very specific feedback when something is wrong, allowing the agent to fix the problem and try again.
Rust is now described by SlashData as the fastest-growing major programming language community, with its developer community more than doubling in size since 2022.
Source: SlashData — Global Developer Population Trends 2025
3. Python — 50.7% YoY Growth in AI Repositories
Python was always a very people-friendly language and beloved by both serious scientists & academics and beginner coders alike due to its uncomplicated readability and writability, and the high-level abstraction that makes it easy to accomplish tasks in a shorter and less complicated way.
In fact, Python has always been strongly associated with AI, but since the dawn of mainstream AI / LLMs, we are seeing a massive spike in Python use.
Python sits right at the center of the modern AI ecosystem and also acts as the glue for human-written code that connects these heavy LLMs to the everyday practical applications that we use in business, medicine, science and education.
GitHub found that Python-powered AI repositories grew 50.7% year over year, while Python itself grew 48.78% in monthly contributors.
Source: GitHub Octoverse 2025
4. Go (Golang) — One of the Fastest-Growing Modern Languages
Go is a modern programming language that was invented at Google to handle large software systems, networking, concurrency and infrastructure across major industries, and thus it is quickly becoming a go-to language (pun not intended) for the very infrastructure that powers the AI era.
It is built from the ground up to be simple, straightforward and lightweight, which are features that all contribute to it being a great language to use with agentic coding on backend services of any scale.
Its deliberately simple syntax and strict tooling also give coding agents fewer complicated ways to arrive at the same solution.
Go developers are already heavily adopting AI development tools. In the official 2025 Go Developer Survey, 53% said they used AI-powered development tools daily, while another 40% said they were at least occasionally trying agentic modes of working.
Go itself also continues to gain developer adoption. JetBrains' 2025 research found that Go has steadily gained market share over the past five years, with more developers saying they planned to adopt Go next than any other programming language.
Don't be surprised if we continue to see more growth with this particular language in the coming years.
Sources: JetBrains State of Developer Ecosystem 2025 and the 2025 Go Developer Survey