Anthropic Acquires Bun: What Claude Code's $1B Milestone Means

Anthropic acquiring Bun means Claude Code is about to get faster. Bun is a JavaScript runtime used by companies like Midjourney and Lovable to build applications quickly. Combined with Claude Code hitting $1 billion in annual revenue in just six months, this signals that AI coding tools are now mainstream infrastructure, not experimental tech.

I use Claude Code daily. It’s become part of my workflow the way a calculator became part of math class. So when I saw that Anthropic is acquiring Bun, the JavaScript runtime that makes code run faster, I paid attention. Anything that improves Claude Code is a win in my book.

Here’s what this actually means for you.

What Just Happened

Developer using Claude Code on laptop — Claude Code has become essential for developers everywhere.

Two big announcements dropped on December 2nd, 2025:

First, Claude Code reached $1 billion in annual run-rate revenue. That’s just six months after launching to the public. For context, ChatGPT took about two years to reach that milestone. Netflix took nearly a decade.

Second, Anthropic announced they’re acquiring Bun, a JavaScript runtime that developers love for its speed. Bun will remain open source.

ℹ️ Why Both Announcements Matter Together: The $1 billion milestone proves Claude Code works. The Bun acquisition shows Anthropic is investing in speed and infrastructure. Combined, they signal that AI coding isn’t a side project anymore. It’s Anthropic’s core business.

What is Bun?

Bun is a tool that runs JavaScript code. If that sounds technical, here’s the simple version: JavaScript is the programming language that powers most websites and apps. Bun makes JavaScript run faster.

How much faster? Significantly. Bun has over 82,000 stars on GitHub (a measure of developer popularity) and gets 7 million downloads every month. Companies like Midjourney and Lovable use it.

Bun isn’t just a runtime. It’s an all-in-one toolkit that handles package management, bundling, and testing. Fewer tools to juggle, fewer things that can break.

Why This Matters for Claude Code Users

Anthropic didn’t buy Bun just because it’s cool technology. They bought it because Claude Code needs to be fast.

When you ask Claude Code to write something, it doesn’t just generate text. It runs code, tests things, iterates. The faster that underlying infrastructure works, the faster you get results.

Mike Krieger, Anthropic’s Chief Product Officer, said it directly: “Bringing the Bun team into Anthropic means we can build the infrastructure to compound that momentum.”

✅ What This Means for Daily Users: If you use Claude Code regularly like I do, expect faster response times and more reliable code execution. The Bun team joining Anthropic is essentially getting a Formula 1 pit crew to tune your everyday car.

What This Means for Non-Developers

Here’s the part that matters if you don’t code for a living.

AI coding tools are getting good enough that regular people can build software. Not just simple stuff. Real applications. That trend is accelerating.

When Claude Code gets faster and more reliable, the barrier between “I have an idea for an app” and “I have an app” gets smaller. Tools like Lovable and Cursor are already letting non-technical people build software. Those tools often run on infrastructure like Bun.

This acquisition means the entire ecosystem gets better. Not just for professional developers, but for anyone who wants to build something.

The Bigger Picture

Laptop with code on screen — AI coding tools are making software development accessible to everyone.

Claude Code hitting $1 billion in six months is a signal. AI coding tools aren’t a future thing. They’re a now thing. And they’re growing faster than almost anyone predicted.

Anthropic acquiring Bun shows they’re thinking long-term. They’re not just building AI models. They’re building the infrastructure to support those models at scale.

⚠️ Why This Matters Even If You Don’t Code: Every “no-code” tool you use (Lovable, Cursor, even website builders) depends on this kind of infrastructure. When the foundation gets faster, everything built on top of it gets faster too. This is the plumbing that makes modern AI apps possible.

If you’ve been curious about AI coding tools but haven’t tried them yet, now’s a good time to start paying attention. The tools are getting better, faster, and more accessible every month.