VibeSDK: Generating and Deploying Full-Stack AI Applications Using Natural Language

Cloudflare VibeSDK is an open source, full-stack AI application generation platform. It allows developers to write natural language ("vibe coding") to describe the application they want to build, and then have AI intelligences automate the complete process of code generation, testing, and deployment. The platform itself is built on top of Cloudflare's developer ecosystem and integrates a variety of services such as Workers, Durable Objects, D1 databases, and R2 storage. Users deploying their own instance of VibeSDK have a platform that allows non-technical people to create web apps, internal tools, or automated workflows through conversational interactions. All generated applications are run and previewed in isolated sandboxed containers, ensuring security, and can ultimately be deployed to Cloudflare's global network with a single click.

Function List

• natural language application generation: The user simply describes the application functionality in everyday language, and the AI intelligences analyze it and generate code in stages.
• Real-time application preview: Generated apps run immediately in a secure sandboxed container, and developers can see how the app looks and test it in real time via a preview link.
• Interactive Chat Iteration: Can communicate with AI intelligences to make changes and feature iterations to the app through a dialog, just like talking to a developer.
• One-Click Deployment: Completed applications can be deployed to Cloudflare Workers for Platforms with a single click for global access.
• GitHub Integration: Supports exporting the generated application code directly to a specified GitHub repository for subsequent manual maintenance and secondary development.
• modern technology stack: Automatically generated apps utilize modern front-end technology stacks such as React, TypeScript, and Tailwind CSS.
• Complete platform architecture: The VibeSDK itself is a complete reference implementation with modules for front-end, back-end (Workers), database (D1), AI gateway and containerized sandbox.

Using Help

Deploying and using your own instance of VibeSDK means that you will have a private, AI platform that can generate applications in natural language. The whole process is divided into two main phases: platform deployment and application generation.

Phase 1: Deployment of the VibeSDK platform

The easiest way to do this is to use the official Cloudflare one-click deploy button.

1. Preparatory work
Here are a few things you need to have ready before you start:

• A Cloudflare account and a subscription to theWorkers Payment PlanThe
• 一个Google Gemini API密钥，你可以从ai.google.devGet.
• (Required) A custom domain name that you have configured on Cloudflare.

2. One-click deployment

• Visit the GitHub repository homepage for VibeSDK:https://github.com/cloudflare/vibesdk
• Click on the prominent "Deploy to Cloudflare Workers" button on the page.
• The page will jump to your Cloudflare dashboard and walk you through creating a new project.

3. Configuring environment variables
During the deployment process, Cloudflare will ask you to configure a number of necessary environment variables that are key to getting your VibeSDK instance up and running.

• GOOGLE_AI_STUDIO_API_KEY: Fill in your prepared Google Gemini API key.
• JWT_SECRET: A security key used for session management. You can use an online password generator to create a long enough and randomized string.
• WEBHOOK_SECRET: The key used for Webhook authentication, which also requires a secure random string.
• SECRETS_ENCRYPTION_KEY: The encryption key used to encrypt the storage key, which is also a secure random string.
• ALLOWED_EMAIL: Fill in your e-mail address. This is to limit the use of the platform to only you and prevent unauthorized access.
• CUSTOM_DOMAIN: Fill in the custom domain name you have prepared. This is required, otherwise the app won't work properly.

After completing the configuration, click the Deploy button and Cloudflare will automatically build and deploy the entire VibeSDK platform for you.

Phase 2: Generating an application with VibeSDK

After a successful deployment, you will be able to access the VibeSDK UI through your custom domain name.

1. Describe your application
The main interface is a chat window. Here you can start describing the application you want to create. The more specific the description, the better.
For example, you can try entering the following prompt words:

• "Create a to-do list with drag-and-drop sorting and dark mode support"
• "Build a simple drawing application with the ability to adjust brush size and color"
• "Make a tool that generates color palettes from images."

2. Observation of the AI construction process
After submitting the description, the AI Intelligence (Agent) will start working. It will first analyze your requirements, then create a build plan and generate code in stages. You can see a real-time log of the entire process on the interface, including steps such as file creation, code generation, and dependency installation.

3. Real-time preview and iteration
After the code is generated, VibeSDK automatically runs the app in an isolated sandbox container and provides a preview link. You can click the link to see the application in action.
If the app doesn't quite meet your expectations, you can continue to enter commands in the chat window to make changes. Example:

• "Add a delete button to the to-do list"
• "Change the background color of the page to gray."
• "Add a function to clear all matters"
  The AI will modify the code and regenerate the preview based on your new instructions.

4. Deployment of applications
Once you are satisfied with your previewed application, you can deploy it officially.VibeSDK provides the option to deploy your application as a Cloudflare Worker. Once deployed, your app will have a public URL and can be accessed globally.

5. Export code
If you wish to customize the code more deeply, you can choose to export the entire project to your GitHub repository. This way you can develop your secondary development locally just like you would a regular front-end project.

application scenario

1. In-house tool development
   Enable non-technical teams such as marketing, sales, or operations to quickly build the data Kanban boards, workflow automation tools, or simple internal administration pages they need through natural language descriptions without having to wait in line for engineering resources.
2. Accelerated prototyping
   Product managers or designers can quickly turn ideas into interactive application prototypes for user testing and gathering feedback, dramatically shortening the validation cycle from concept to prototype.
3. SaaS Platform Functionality Extension
   Allows customers of SaaS products to extend the functionality of the SaaS platform by building customized plug-ins, workflows, or interfaces for themselves through natural language, without the need to learn complex APIs or write code.
4. Introduction to Education and Programming
   As a learning tool, it helps programming beginners to visualize how an application is built step by step from a simple description, to understand the project structure and the way the code is organized.

QA

1. How does VibeSDK ensure that AI-generated code is secure?
   All applications generated by AI are run and previewed in a fully isolated Cloudflare Containers. Network access to these containers is severely restricted, ensuring that the generated code does not access sensitive external or internal resources, effectively preventing security risks.
2. What AI models are supported by VibeSDK?
   It connects multiple Large Language Model (LLM) providers through Cloudflare's AI Gateway and is currently primarily configured to use Google's Gemini model, but is architected to support switching and using other models such as those from OpenAI or Anthropic.
3. How many visits can the generated application handle?
   The final deployed application runs as a Cloudflare Worker, which itself is designed for high concurrency and large-scale access, and is able to scale automatically to take advantage of Cloudflare's global network, so it can comfortably handle varying traffic sizes, from personal projects to enterprise-class applications.
4. Is it costly to deploy my own instance of VibeSDK?
   Costs come primarily from Cloudflare's Workers payment plan, D1 database, R2 storage, and the cost of API calls for AI models. For individual developers and small teams, the upfront cost of use is relatively low. cloudflare's AI Gateway also caches responses to common requests, helping to further reduce AI call costs.