What is v0?
v0 is an AI coding assistant that generates real, functional code for full-stack apps, websites, and AI agents from a text prompt. It produces working UI components, backend logic, and deployable applications. Product teams, engineers, designers, and founders use it to take a project from idea to live product without writing boilerplate or managing infrastructure setup. You can start from a plain-text description, a screenshot, a Figma file, or a ready-made template, and access the AI coding assistant through its web interface or iOS app.
Features & Benefits
- Generate full-stack applications: Build complete apps with both frontend UI and backend logic from a single prompt, covering landing pages, dashboards, e-commerce stores, and data-driven tools.
- Generate UI components: Produce high-fidelity React components, custom hooks, and interactive elements that follow modern standards and are ready for developer handoff.
- Generate code from screenshots and Figma files: Upload a screenshot, wireframe, or Figma file and get production-ready CSS and HTML code that matches the visual design.
- AI prompt enhancement: Expand a short idea into a detailed technical spec before generation, improving output quality for complex builds.
- Prompt queuing: Queue up to 10 prompts while v0 is still generating; they run automatically in sequence so multi-step builds move without waiting.
- Voice input: Dictate prompts using the built-in microphone, with speech transcribed and inserted into the prompt editor before sending.
- Visual design mode: Select any element in the live preview, then adjust typography, color, layout, borders, shadows, and padding through a visual panel. Visual panel changes consume no credits.
- In-browser code editor: Edit any generated file directly in the browser with syntax highlighting, line numbers, find-and-replace, global search across all files, diff view, and split view.
- Inline code generation: Select any block of code in the editor and prompt v0 to modify it in place using Cmd+K / Ctrl+K.
- Create design systems: Define a custom component registry with colors, typography, and Tailwind config, then apply those tokens consistently across every project generation.
- Version history: Browse, preview, and restore any prior generation; restoring creates a new version to keep history linear.
- Automatic error fixing: Detect and repair syntax issues, missing dependencies, runtime bugs, and import errors automatically; a “Fix with v0” button reads deployment error logs and applies fixes directly, with up to 20 free uses per day on unedited code.
- Web search: Query the web in real time for current documentation or best practices, with cited results shown directly in the chat.
- Site inspection: Visit and analyze any website, capturing screenshots and extracting content for design reference or recreation.
- Database integration: Connect to external databases with one click to build data-driven applications with live backend connections; SQL-based integrations support generating and executing SQL to create, update, and drop tables.
- AI model integration: Connect to AI platforms via the Vercel AI Gateway or add third-party API keys to build AI-powered features directly into generated apps.
- MCP integrations: Connect custom MCP servers or Vercel Marketplace integrations to give the AI coding assistant access to external tools, project management systems, analytics platforms, content databases, and more during generation.
- Pre-installed coding agents: Invoke agents like Claude Code from the v0 terminal to work inside the project sandbox alongside v0’s built-in assistant.
- GitHub sync: Connect a repository to automatically branch, auto-commit on every change, open pull requests, and merge — without running Git commands manually.
- Custom instructions: Save reusable prompt rules to your account and apply them on demand to guide generation behavior across any chat or project.
- Project management: Group multiple chats under one project, sharing a file system, deployment URL, environment variables, and integrations across all connected chats.
- One-click deployment: Publish a working app to Vercel’s global CDN with automatic HTTPS, edge caching, performance monitoring, and analytics integration.
- Custom domains: Attach a custom domain to any deployed project.
- Chat sharing and collaboration: Share chats with view or edit permissions; team members can duplicate a chat to iterate independently without affecting the original.
- Slack integration: Access the AI coding assistant directly from a Slack workspace.
- iOS app: Build and iterate on projects from a mobile device.
- Template library: Start from a curated set of ready-made components and full-page designs across categories including dashboards, landing pages, and e-commerce.
Real-World Applications
A founder building an MVP can use v0 to generate a working product without a dev team. A text prompt describing the core feature set can produce a full-stack app with a live database connection and a deployed URL in the same session. Iteration happens through follow-up prompts, with each change auto-committed to a GitHub branch and ready for a pull request when the build stabilizes.
Design teams translating mockups into code may paste a Figma file or screenshot directly into the AI coding assistant and get responsive HTML and React back in seconds. Visual design mode lets them fine-tune spacing, typography, and color directly on the live preview, while the diff view shows exactly what changed between each generation. The result hands off to developers as actual code, not a static spec.
Engineering teams scaffolding a new project can use the AI coding assistant that handles boilerplate. React components, custom hooks, authentication flows, real-time features, and full Next.js app structures come together through prompted sequences. Prompt queuing lets engineers line up several build steps at once, and Claude Code is available in the terminal for deeper agentic work within the same sandbox environment.
Product and marketing functions also find practical applications for the AI coding assistant workflow. A product manager can prototype a feedback form that writes to a database, share it with stakeholders for review, and connect it to a deployment URL. A marketing team can launch a custom A/B test page or campaign site, push it live through Vercel, and hand back a clean GitHub branch for the engineering team to review before merging.
