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Why Google built its own VS Code fork in the first place

Jorge A. Aguilar
Google Antigravity logo on a gradiant background.
Jorge Aguilar / How To Geek | Google

Google forking VS Code was a very significant change, and there weren’t many signs that this was coming. When Google, a company that has championed and contributed to open source projects like Visual Studio Code, chooses to fork the application and build its own parallel app, it demands attention.

Antigravity is a very popular app, and has poached me from VS Code. With the success, it is safe to say that it was a very smart move by the company.

The 'agent-first' architecture required breaking the extension sandbox

Google Antigravity screenshots on an orange background
Corbin Davenport / How To Geek

Google decided to fork Visual Studio Code because the standard extension API was too restrictive for an agent-first plan. Traditional extensions are basically passive assistants. They usually just wait for you to type something out before popping up to help you. Also, they operate inside these strict security sandboxes that severely limit their ability to make big changes across your whole codebase.

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When you're using a standard setup, tools like GitHub Copilot are helpful, but they tend to live in the margins. They are totally dependent on you constantly giving them direction, and they just can't autonomously drive those broad architectural updates. For Antigravity to work successfully, Google really needed an environment where the AI agents could actually plan things out.

The company needed these agents to execute terminal commands and edit numerous files all at once without constantly having to bug the user for permission. By forking the main application, Google's engineers were able to slip a new "Manager View" layer right into the core foundation of the IDE. This dedicated interface lets developers spawn and supervise multiple agents that work asynchronously.

This is how the Gemini 3 models can orchestrate those very complex workflows that regular plugins just cannot handle. These agents aren't just suggesting code snippets anymore. They can now independently verify their work through an integrated browser and terminal. It's essentially transforming the IDE from what was just a text editor into a mission control center for completely autonomous software development.

Google didn’t make these decisions because the original goal was to bring users away from VS Code; the company decided to do so out of necessity. However, once the plan was clear, the tech giant needed to move forward with the mindset of gaining a loyal user base quickly.

Google had to eliminate the switching cost friction for developers

VS Code logo.
Corbin Davenport / How-To Geek / Microsoft

Google’s smart strategy for gaining new users is what convinced me to switch platforms. Google’s fork is so familiar that I didn't have to learn a single new thing. It honestly felt like using a normal Visual Studio Code update, which meant I could move a giant project over that very same day.

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When tech companies try to build a brand new IDE from scratch, the design and UI are usually where they fall flat. This is mostly because developers really do not like changing the way they work every day. By forking VS Code instead, Google was basically using a Trojan horse strategy to slip its brand new, powerful AI tools right into an environment that millions of developers already use.

The editor view is built using VS Code as its foundation. You get the same file explorer, tabs, and shortcuts you already know, which gives you an immediate, low-friction experience right out of the gate.

If Antigravity had actually been a totally new application with unique keybindings and a proprietary file system, you could reasonably expect that very few people would adopt it. That is especially true when you consider the pain of learning new tools at the same time as you are trying to learn AI integration.

What happens instead is that by using a fork, users get to keep all of their existing extensions, themes, and that crucial muscle memory totally intact. Google clearly understood that to win the AI coding race, it did not need to reinvent the entire text editor. The company just needed to own the actual intelligence layer operating right on top of it. Sure, it came with rates , but it still worked well, and those rates were raised .

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This approach lets the engineers get the Gemini 3 Pro model and the agentic workflow logic integrated. The team didn't have to spend years fixing things like basic text rendering or file management systems. That is some truly brilliant planning if you ask me.

In every arms race, speed matters the most

Logos of Zed, VS Code, Pulsar, and Neovim displayed across a laptop screen, with blurred colorful code in the background.
Lucas Gouveia/How-To Geek

Building a code editor that is stable, responsive, and performs really well right from the ground up is a huge engineering project. It usually takes years of effort before it matures enough for professional use.

Google is currently locked in a fierce race against agile competitors like Cursor and Windsurf. These companies are quickly redefining the developer experience by integrating artificial intelligence right into the workflow. To be fair, both of those companies also used VS Code forks to launch their products quickly, which let them bypass the usual inertia of foundational development.

Google could not risk building a completely proprietary engine, something like an Android Studio for the web, and starting from nothing. The company would likely have arrived years late to the market and missed that critical window of opportunity.

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That's not to say there aren't issues. We've already seen someone's hard drive get deleted by an AI with too much power, but overall, the fork works well.

Forking gave Google an immediate foundation that was already battle-tested, which is really helpful. We are talking specifically about the robust Electron framework and the Monaco editor that powers VS Code. This strategic choice let Google put 100 percent of its engineering focus on the differentiating features.

This isn’t to say that there won’t be a made-from-scratch IDE from Google in the future. It is clear that people want to use AI like the Gemini 3 Pro model. So the company may take the time to make a whole new IDE and develop the complex logic for the agentic workflows. Google has the resources to dedicate a team to this task. If the company sees a path to profitability, a proprietary Google IDE is a distinct possibility.


Google's strategic fork of Visual Studio Code may be a major step in the future of IDEs. The next generation of productivity may hinge on autonomous, context-aware AI capable of operating across the entire development stack.

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We have to wait and see how many more improvements will come to Google’s VS Code fork. However, this does not seem like the end; in fact, it seems like the start of something big.

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