Top 10 AI App Builders: Lovable, Cursor & v0

AI app builders help users turn prompts, designs, data, or code changes into working apps faster. Code-first AI app builders work more closely with real codebases and developer workflows, while no-code and low-code AI app builders focus on visual editing, built-in infrastructure, and app creation for users with less coding experience.

We compared the top 10 AI app builders across these two categories. To learn how these tools performed in our benchmarks, check out our experiences.

Top 10 AI app builders

Code-first AI app builders

Lovable

Lovable is a Stockholm-based AI app builder that helps users create apps, web apps, landing pages, and internal tools from natural language prompts. It is often grouped with vibe coding tools because an app starts with an idea or prompt and iterative edits rather than manual code writing.

• Generates full-stack React and TypeScript apps with frontend, backend, database setup through Supabase, authentication, integrations, and deployment.
• Users can test, customize, edit, and publish a working app from the browser, with GitHub integration for generated code and a custom domain on paid plans.

Cursor by Anysphere

Cursor is an AI-native code editor rather than a classic no–code app builder. It allows product teams and developers to build apps, add new features, fix errors, and work across real codebases.

Cursor’s differentiation lies in its agentic coding environment and in-house Composer model, which is built for longer software engineering tasks, multi-step planning, and generating code changes across files. It is model-agnostic and provides access to models from OpenAI, Anthropic, Gemini, xAI, and Cursor, so teams can choose different models for different coding tasks.

Cursor supports AI autocomplete, chat with the codebase, code review, and terminal-aware development. It helps users create custom and AI-powered apps faster, but coding experience is still useful because users work directly with code.

Replit

Replit is a browser-based app development platform with a cloud IDE and AI agents. It can be used by hobbyists, students, founders, and enterprise teams to build apps and prototypes from plain-language prompts.

Replit Agent 4 can run multiple agents in parallel on the same project, use a visual design canvas, and produce multiple artifact types, including web apps, native mobile apps, slide decks, data apps, and animations.

It also supports payment processors such as Stripe for web apps and RevenueCat for mobile apps, and it includes workflows for building iOS and Android apps and submitting them for App Store review.

See the video below to learn how Replit’s Visual Editor works:

v0 by Vercel

v0 is Vercel’s generative UI and full-stack web app builder. It turns prompts into React, Next.js, Tailwind, and Shadcn UI interfaces and connects closely with Vercel’s deployment platform.

Users can import GitHub repositories, work on existing code, create commits, use branch and pull request workflows, and connect to Vercel project settings. It also supports data-connected apps via Snowflake and AWS database integrations, making it useful for internal tools and real-data applications.

Bolt by StackBlitz

Bolt is a browser-based AI-powered app builder for full-stack JavaScript app development.

With its StackBlitz WebContainers, which run a Node.js environment in the browser, Bolt speeds up the app creation process by allowing users to test real apps without installing dependencies locally.

No-code & low-code app builders

Base44 by Wix

Base44 is an all-in-one AI app builder that turns plain-language descriptions into functional web apps and business apps. Wix acquired Base44 in 2025, providing the product access to Wix’s infrastructure, distribution, and website experience.

Base44 handles app structure, design, database, signups, user permissions, hosting, analytics, and integrations. Users can create complete apps without coding experience, connect APIs, use payment processors, and publish apps with a custom domain.

Bubble

Bubble is a full-stack no–code app builder for web and mobile app development. Bubble includes a drag-and-drop editor, built-in database, workflows, privacy rules, authentication, API integrations, marketplace resources, and AI-assisted app generation. Users can create custom apps, business apps, portals, dashboards, and native mobile apps for iOS and Android.

Glide

Glide is a no–code app builder that turns spreadsheets and databases into mobile-first business apps. It is commonly used for internal tools, field apps, directories, CRMs, inventory trackers, and operational workflows, and connects to Google Sheets, Excel, Airtable, SQL sources, and Glide Tables

Users can create apps with a visual editor, templates, forms, roles, permissions, automations, and AI features that help summarize, classify, extract, and act on data.

FlutterFlow

FlutterFlow is a visual low-code app builder for native mobile, web, and desktop apps.

FlutterFlow can export Flutter and Dart source code, allowing teams to extend the app beyond the platform when coding is required. FlutterFlow is a good fit for teams that want no-code speed at the start but still need generated code, code export, and developer control later.

It also supports AI agents for chat, image generation, video generation, speech-to-text, and text-to-speech inside apps.

Softr

Softr is an AI-native no–code platform for business apps, customer portals, dashboards, and internal tools.

Softr offers drag-and-drop blocks, workflows, forms, user groups, responsive publishing, and integrations with tools such as Airtable, Google Sheets, Notion, HubSpot, monday.com, SQL databases, BigQuery, and REST APIs.

Softr’s AI Co-Builder creates the database, app, and business logic from a prompt, with security and permissions already connected, which differentiates it from tools that only generate UI or frontend code. It is well-suited for product teams and business users who want AI–built apps that connect to real data, support customers and users, and launch as operational software rather than only prototypes.

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Our experiences with AI app builders

Screenshot-to-code benchmark

Screenshot-to-code is a practical workflow for evaluating AI app builders, as many users start with a mockup, landing page, or app idea before moving to a working app. In our screenshot-to-code benchmark, we tested Lovable, v0, and Bolt on five design pages using the same prompt: “Create a pixel-perfect implementation of this UI design.”

We measured both quantitative element accuracy and qualitative UI fidelity. Quantitative scoring focused on whether boxes, buttons, text elements, images, icons, and input fields were correctly implemented. Qualitative scoring focused on typography, layout structure, visual elements, basic styling, and color usage.

In our benchmark, v0 and Bolt led the comparison. This suggests that teams using AI app builders should test design-to-code quality separately from other criteria such as generated code quality, GitHub integration, custom domain support, mobile app support, and the ability to create complete apps with real data. See the screenshot for the code for more details on the benchmark and output examples.

Note: We evaluated screenshot-to-code performance, not broader app development capabilities such as backend logic, built-in databases, integrations, API keys, code export, native mobile apps, payment processors, or app publishing. However, the benchmark is useful for comparing how Lovable, v0, and Bolt handle design-to-code tasks.

AI code editor benchmark

The AI code editor benchmark focused on a different question: can an AI coding agent build and validate a working web app with minimal human input? We tested six AI code editors across ten real-world web development challenges involving backend, frontend, authentication, and state management.

Evaluation combined backend correctness, frontend behavior, and overall performance. The setup used one-shot execution, followed by backend and frontend smoke tests. This allowed us to compare whether each agent produced a runnable system, met backend requirements, implemented expected frontend behavior, and handled the task reliably.

Cursor achieved the highest backend and combined score. The qualitative findings showed different engineering styles across the tools. Cursor favored small, low-risk fixes. Replit handled the workflow through its cloud environment. See the full comparison on AI code editor.

Note: These results should be treated as an autonomous coding and orchestration benchmark. We did not evaluate no-code editing, screenshot-to-code quality, built-in databases, mobile app publishing, custom domains, or broader business app workflows. However, the benchmark is useful for comparing how AI coding tools handle runnable systems, backend logic, frontend behavior, and full-stack development tasks.

Prompt-to-website benchmark

Prompt-to-website generation tests whether an AI tool can turn a product brief into a usable multi-page site. For this benchmark, we gave v0, Bolt, Lovable, and other tools the same one-shot prompt: build LearnHub, an e-learning platform with a homepage, a course listing page, a course detail page, and a student dashboard.

The scoring model covered three areas:

• Component presence was measured by determining whether the requested pages and page elements were included.
• Interaction scoring checked navigation, enrollment flow, search, and filtering.
• Mobile responsiveness focused on how well the homepage, course grid, and navigation adapted to smaller screens.

v0 finished first with a score of 90%. Bolt followed with 80%, and Lovable scored 45%. The tools also differed in deployment workflows: v0 outputs can be deployed to Vercel; Bolt projects can be deployed to Netlify and connected to Supabase; and Lovable supports Supabase connection for deployment via a plugin.

Note: These results should be read as a prompt-to-website benchmark, not a full ranking of AI app builders. The test used one initial prompt and did not include follow-up adjustments, prompt iteration, manual code edits, or platform-specific customization. In real use, outputs may improve when users refine prompts, edit generated code, and use each platform’s own customization features. Read the AI website creator to learn the full benchmark results.

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@misc{ermut2026,
  author = {Ermut, Sıla},
  title  = {{Top 10 AI App Builders: Lovable, Cursor & v0}},
  year   = {2026},
  month  = jun,
  howpublished    = {\url{https://aimultiple.com/ai-app-builders}},
  note   = {AIMultiple. Retrieved Juni 19, 2026}
}

Sıla Ermut

Branchenanalyst

Folgen auf

Sıla Ermut ist Branchenanalystin bei AIMultiple und spezialisiert auf E-Mail-Marketing und Vertriebsvideos. Zuvor war sie als Personalberaterin in Projektmanagement- und Beratungsunternehmen tätig. Sıla hat einen Master of Science in Sozialpsychologie und einen Bachelor of Arts in Internationalen Beziehungen.

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