Hand tracing a glowing red light path in darkness: intent-driven development, designing the path before writing a single line of code.
Lovable traces the path you describe with text and turns it into working code: the hand is yours, the output is a deployed application.

Lovable is an AI web application builder that generates full-stack React applications from natural language descriptions. You describe a product, and Lovable produces working TypeScript, connects it to a Supabase database, adds Stripe payment integration if needed, and deploys to a live URL. It sits in the same category as Bolt.new and Replit Agent but distinguishes itself with a persistent visual editor that lets you point-and-click to edit UI components alongside the chat interface. Lovable is the fastest path from “I have a product idea” to “I have a working prototype.”

Frontend
React 18 TypeScript Tailwind CSS shadcn/ui React Router
Backend
Supabase (Postgres) Supabase Auth Supabase Edge Functions Lovable connects directly to your Supabase project via the dashboard integration
Integrations
Stripe Resend (email) GitHub sync Custom domains
Deployment
Lovable hosting Netlify (via GitHub) Vercel (via GitHub)

What Lovable generates

When you describe a product, Lovable produces:

  • A React component tree with pages, routing, and layout
  • TypeScript types for all data models
  • Supabase table schemas via SQL migrations
  • Row-Level Security (RLS) policies for each table
  • Auth flows (sign up, log in, password reset, protected routes)
  • A live deployment URL on lovable.app

Everything generated lives in a GitHub repository you own. If you outgrow Lovable, you clone the repo and continue with any editor.

Getting started

Lovable runs at lovable.dev. No installation required. Connect your GitHub account and optionally your Supabase project at setup.

Example starting prompt:

Build a SaaS invoicing tool for freelancers. 
Users can sign up, create clients, add invoice line items, 
set due dates, and mark invoices as paid or unpaid.
Dashboard shows total outstanding, paid this month, and overdue count.
Use EUR currency. Austrian freelancer context.

Lovable responds with a working prototype in 2-4 minutes.

Refining with follow-up prompts:

Add a PDF export button to each invoice that downloads a formatted PDF 
with the freelancer's name and address at the top.
When an invoice becomes overdue (past due date), highlight it in red 
on the dashboard and send an email reminder to the freelancer.

Each message is a diff: Lovable modifies only the relevant components and database functions.

Visual editor

The visual editor (Select mode) lets you click any element on the live preview and describe a change. This avoids writing long prompts when the intent is visual: “make this button larger” or “move this section above the chart.” Changes sync to the code in real time and push to GitHub.

Step 1 Describe the product Write a structured prompt: what the app does, who uses it, what the key screens are, and what data it stores. One paragraph is enough for a first prototype.
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Step 2 Review and connect Supabase Lovable shows the schema it plans to create. Connect your Supabase project and Lovable runs the migrations directly.
→
Step 3 Iterate in chat and visual editor Add features via chat. Adjust visuals by clicking in the preview. Each change is a commit to your GitHub repository.
→
Step 4 Share or deploy Share the lovable.app preview URL for user testing. Add a custom domain or deploy to Netlify/Vercel when ready for production.

Pricing (as of June 2026)

PlanMonthlyMessages includedGitHub sync
Free€05/dayNo
Starter€20100/monthYes
Launch€50250/monthYes
Scale€1001,000/monthYes

One “message” is a single prompt interaction, including any code generation and live preview update. Iterative prototyping typically uses 10-30 messages per feature.

Comparison with alternatives

LovableBolt.newCursorReplit Agentv0 (Vercel)
Full-stack (DB + auth)YesYesNo (editor only)YesFrontend only
Visual editorYesNoNoNoYes (UI only)
Supabase nativeYesPartialNoNoNo
GitHub syncYesYesYesYesNo
Custom domainYesVia Netlifyn/aYesVia Vercel
Best forProduct prototypesQuick frontend appsCode editing with AIFull-stack, Python appsReact UI generation

Writing effective prompts for Lovable

Lovable needs context it cannot infer. Specificity in the initial prompt reduces iteration cycles significantly.

Specify the user role model:

There are two user types: freelancers (create invoices) and admins (view all invoices across all freelancers).

Specify data relationships:

Each project belongs to one client. Each invoice belongs to one project. 
A client can have many projects. A project can have many invoices.

Specify constraints:

All amounts are in EUR. No invoice total should exceed €99,999. 
Line item quantities must be positive integers.

When not to use Lovable

Production-grade security-sensitive systems: Lovable generates RLS policies, but an AI-generated security model should be audited by a developer before handling real user data or payments. Never take a Lovable prototype directly to production without a security review.

Complex custom logic: If your application requires machine learning inference, complex data transformations, or non-standard integrations, the generated Supabase Edge Functions will need manual extension. At that point, Cursor or a traditional codebase may offer more control.

Teams that need design systems: Lovable generates Tailwind + shadcn. If your team has a proprietary component library (Radix-based, Chakra, Material), you will spend more time overriding generated styles than building features.

Non-React frontends: Lovable only generates React. Angular, Vue, and Svelte are not supported.

Further reading