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How to Use Lovable

Starting a Lovable project, GitHub sync, chat-based editing, Supabase integration, and deployment.

Updated April 2026 · 6 min read

Lovable is an AI full-stack builder that turns prompts into deployable React + Supabase apps, with a live GitHub mirror.

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Lovable — formerly GPT Engineer — lets you describe an app in chat and watch it appear, file by file, in a side-by-side preview. Unlike UI-only tools, it wires up a backend too: Supabase for auth and Postgres, serverless functions for business logic, and Stripe for payments are all one prompt away. Every project is mirrored to a real GitHub repo you own, so you can eject at any time and continue in your editor of choice.

What it is

Lovable is a hosted platform built by a Stockholm-based team. The generated stack is Vite + React + TypeScript + Tailwind + shadcn/ui on the frontend and Supabase on the backend. Code is yours under a standard MIT-style project license once exported. The service itself is SaaS, with a free daily message allowance and paid tiers for heavier use.

Install

Lovable is browser-based. To work on an exported project locally:

git clone https://github.com/<you>/<lovable-project>.git
cd <lovable-project>
npm install
npm run dev

First run

At lovable.dev, click “New Project” and type a prompt. Lovable scaffolds the repo and opens a preview; follow-up messages edit the same codebase.

// A typical generated page.tsx
import { supabase } from "@/integrations/supabase/client"

export default function Dashboard() {
  // Lovable writes the fetch, table, and auth guard for you
  return <TaskList />
}

Everyday workflows

  • Prompt an MVP, connect Supabase with one click, then ask Lovable to add row-level security policies.
  • Use “Select element” to point at a button in the preview and say what should change.
  • Push every change to GitHub, review diffs in a PR, and deploy via Vercel or Netlify.

Gotchas and tips

Lovable is generous with dependencies — audit package.json before shipping or you’ll carry half of npm into production. Its Supabase integration creates tables quickly, but it rarely adds indexes; profile slow queries early. Long chats also drift: if the app starts contradicting itself, fork a fresh chat that points at the same GitHub repo.

Secrets are a soft spot. Never paste API keys into the chat — use Supabase Edge Function secrets or Vercel env vars, and remind Lovable to read from them instead of hardcoding values.

Who it’s for

Solo founders and product managers who want a working SaaS skeleton in an afternoon. Tip: after the MVP prompt, immediately ask Lovable to add tests and error boundaries — it rarely suggests them unprompted.

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