In-Browser Code Execution for AI
Execute, interpret, and refactor AI-generated code directly in the browser. A secure, sandboxed environment with zero latency, zero compute costs, and zero virtual machines.
See it in action.
Explore demos of WebContainer API running AI-generated code right in your browser.
Data annotation
Let annotators securely interact with AI-generated results and score how well they work, with no local setup and no remote servers.
View demo →AI evaluation and debugging
Run model outputs, investigate failures, and simulate alternative scenarios directly in your browser
View demo →Generative UI
Give agents lightweight sandboxes in the browser to build complex interfaces with low latency and no remote servers.
View demo →Secure agent runtime
Embed agents directly in your product. Give them a browser sandbox to install packages, write files, and execute code, with no VMs to manage.
View demo →The best runtime for your AI Agents.
Looking for proper test cases to evaluate an AI agent? We've assembled the best test cases based on npm stats and usage by millions of developers.
Learn moreImprove the quality of your AI-generated code
To ensure code generated by your LLM is valid, performant, and satisfies the prompt, you need to be able to actually execute it. The WebContainer API enables this securely, right inside the user's browser tab.
Provide a better developer experience for your users
With the WebContainer API you can provide your users a low-latency in-browser code execution environment seamlessly integrated into your AI application so they can get production-ready code faster.
Avoid infrastructure and security headaches
With no virtual machines or network connections to manage, you can ensure untrusted AI-generated code doesn’t pose security risks to you or your end users.
Leverage the tech we use
in our own products.
WebContainers already powers production developer experiences from interactive tutorials to full-blown IDEs. With the WebContainer API, you can build a secure and performant coding environment into your AI applications without worrying about provisioning infrastructure.
Get started!