aicoolies logo
Lovable logo

Lovable

AI full-stack app builder

Share
freemium
Visit Website →

Build production-ready applications from text and image prompts. Full-stack with Supabase backend, authentication, and one-click deployment. Formerly GPT Engineer, backed by top investors. Targets non-technical founders and product teams who want to go from idea to deployed app in minutes, with AI handling both frontend UI and backend infrastructure setup.

We have a review for this tool

A detailed review by the aicoolies team — click to read

Lovable is an AI-powered full-stack application builder that lets users create production-quality web applications by describing what they want in natural language. Formerly known as GPT Engineer, Lovable solves the problem of turning product ideas into working software without requiring extensive coding knowledge, enabling founders, product managers, and developers to go from concept to deployed application in minutes. It combines AI code generation with integrated hosting, database management, and authentication to deliver a complete application development experience.

Lovable generates clean, maintainable code using React, TypeScript, Tailwind CSS, and shadcn/ui components, producing applications that follow modern development best practices. Key features include visual editing capabilities, integrated Supabase backend for database and authentication, automatic responsive design, GitHub synchronization for version control, and one-click deployment. The platform supports iterative development through natural language conversations, allowing users to add features, fix bugs, and refine designs by simply describing the changes they want.

Lovable is designed for startup founders building MVPs, product managers prototyping ideas, and developers who want to accelerate their workflow by offloading boilerplate and repetitive UI work to AI. It excels at creating SaaS applications, admin dashboards, landing pages, and data-driven web apps that require backend functionality. The platform integrates with Supabase for database operations, Stripe for payments, and custom domains for professional deployment, making it suitable for shipping real products rather than just prototypes.

Pricing

Free tier / Starter $20/mo / Pro $50/mo

Platforms

Web (browser-based)

Categories

Tags

Use Cases

Alternatives

Related Tools

OpenUI logo

OpenUI

Open-source UI generation from natural-language prompts

OpenUI is an Apache-2.0 design-to-code tool from W&B that turns natural-language interface prompts into live HTML previews and frontend code. Teams can run it locally or with Docker, connect OpenAI, Groq, LiteLLM-compatible providers, or Ollama, and export generated UI toward React, Svelte, Web Components, and related workflows. It fits rapid UI mockups where developers want editable code instead of screenshots.

open-sourceOpen SourceTelemetry

Figma MCP Server

Official remote MCP server for design-to-code and write-to-canvas Figma workflows.

Figma MCP Server is Figma’s official remote Model Context Protocol surface for design-to-code agents. It gives supported clients structured design context, variables, components, selected-frame code context, Code Connect mappings, and beta write-to-canvas tools for creating or updating native Figma frames from an MCP client while keeping the workflow tied to Figma files.

freemiumTelemetry
OpenPencil logo

OpenPencil

AI-native open-source design editor and Figma alternative

OpenPencil is an AI-native, open-source design editor for teams that want a Figma-like canvas with source-visible code and experimental AI design workflows. It is best framed as OpenPencil by the open-pencil project, separate from the same-name ZSeven-W repo, and useful for early UI prototyping, design-to-code exploration, and open-source visual editing pilots.

open-sourceOpen Source

Talk to Figma MCP

Read/write MCP bridge between AI coding agents and Figma

Talk to Figma MCP is an MIT-licensed bridge from Grab that connects Cursor, Claude Code, and other MCP-capable agents to Figma through a local MCP server, WebSocket bridge, and Figma plugin. Unlike read-only context servers, it can inspect selections, create or modify nodes, update text in bulk, and automate design operations, so teams should review permissions before enabling write access.

open-sourceOpen SourceTelemetry
Figma Context MCP logo

Figma Context MCP

MCP server that gives coding agents structured Figma context for design-to-code work

Figma Context MCP is an MCP server for giving coding agents structured access to Figma design context during implementation. Instead of copying screenshots or hand-written design specs into prompts, teams can expose layout, component, and context information to agents such as Cursor, Claude Code, and other MCP-compatible coding workflows. It is a strong design-to-code bridge for teams trying to reduce hallucinated UI details and tighten handoff between designers and AI-assisted developers.

open-sourceOpen SourceTelemetry

screenshot-to-code

Convert any screenshot or mockup into clean frontend code with AI vision.

screenshot-to-code is an open-source tool that converts screenshots, mockups, and Figma designs into clean, functional HTML, Tailwind CSS, React, or Vue code using AI vision models. Powered by GPT-4V, Claude, and Gemini, it supports video-to-code and iterative editing workflows, making it a rapid scaffolding tool for frontend developers who want to skip the pixel-translation step entirely.

open-sourceOpen Source

Used in Stacks

Comparisons

Lovable vs Windsurf — No-Code AI App Builder vs AI-Enhanced Professional IDE

Lovable generates complete applications from natural language descriptions with visual editing for non-developers. Windsurf provides an AI-native IDE with Cascade flows, inline completions, and deep codebase understanding for professional developers. Lovable wins for rapid no-code prototyping while Windsurf wins for professional AI-assisted development.

LovableWindsurf

Cursor vs Lovable — AI-Native Code Editor vs No-Code AI App Builder

Cursor provides an AI-powered code editor built on VS Code with inline completions, chat-driven refactoring, and codebase-aware context for professional developers. Lovable offers a no-code platform that generates full-stack applications from natural language descriptions. Cursor wins for professional development while Lovable wins for rapid app prototyping without coding.

CursorLovable

Bolt.new vs Lovable — AI Full-Stack App Builders for Rapid Prototyping Compared

Bolt.new by StackBlitz and Lovable (formerly GPT Engineer) are AI app builders that generate full-stack web applications from natural language descriptions. Bolt.new runs entirely in the browser using WebContainers with 1M free tokens per month. Lovable generates complete applications with Supabase backend integration, authentication, and deployment. Both target the 'vibe coding' movement where describing an app replaces writing code.

Bolt.newLovable

V0 vs Lovable — AI App Builders Compared: Component Generation vs Full-Stack Scaffolding

V0 by Vercel and Lovable are the two hottest AI app builders in 2026, letting developers and non-developers create web applications from natural language descriptions. V0 excels at generating production-quality React components with deep Next.js and Vercel ecosystem integration at $20/month. Lovable focuses on complete full-stack application generation with Supabase database, authentication, and deployment built in. Both are changing how software gets built — but for different audiences and project scopes.

v0Lovable

Onlook vs Lovable vs Tempo Labs — Visual React Builders & AI App Development Compared

Visual React development has become a distinct category in 2026, with tools that let designers and developers manipulate real React components through intuitive visual interfaces rather than writing code line by line. This comparison examines three platforms leading this shift: Onlook as an open-source visual editor that connects to your existing codebase, Lovable as a conversational full-stack app builder for rapid product creation, and Tempo Labs as a visual React IDE with multi-agent AI planning and a rich editing canvas.

OnlookLovableTempo Labs

HeroUI Chat vs Lovable vs Bolt.new — AI React Component & App Builders Compared

Building React applications and components with AI has become a mainstream workflow in 2026, with tools ranging from component generation libraries to full-stack app builders. This comparison examines three popular platforms: HeroUI Chat for AI-powered React component generation built on the 23K-star HeroUI library, Lovable for conversational full-stack app development with deployment included, and Bolt.new for instant in-browser application scaffolding with live preview.

HeroUI ChatLovableBolt.new

Bolt.new vs v0 vs Lovable — AI App Builder Comparison

Three AI-powered app builders competing to let you ship full applications from a single prompt — each with a fundamentally different architecture and target audience.

Bolt.newv0Lovable