v0 starts you off with a Vercel project, a Git branch, a publish button, and a preview URL ready to drop into Slack. Lovable opens to a canvas where Supabase, auth, and integrations like Stripe sit one chat away. Both will get you to a working web app in an afternoon, and the choice between them usually settles itself once that first version is live and someone on the team asks what to do next.
Below, we'll go through what each tool is, how the workflows feel day-to-day, and where each one fits when the project's ready to ship on Vercel.
Copy link to headingWhat is v0?
v0 is Vercel's AI agent for building full-stack apps, agents, and components. It rebranded from v0.dev to v0.app in August 2025 and now leads with an agentic workflow under the tagline "Prompt. Build. Publish."
Copy link to headingHow v0 works
You give v0 a prompt, get a live preview, and then either accept the result, ask for changes, or jump into the code. The Code view lets you edit project files directly, and Design Mode (Option/Alt+D) gives you a visual editor for spacing, copy, and color without leaving the canvas. Publishing is one click to a Vercel URL, with a custom domain you can add later.
The agent itself does the planning work, searching the web with citations, inspecting deployed sites, working through multi-step tasks, and recovering from its own build errors. After the new v0 shipped in February 2026, every chat now lives on its own Git branch with auto-commits and a PR-based merge into main, so the connected GitHub repo holds the canonical version of the app.
Copy link to headingKey features of v0
By default, v0 generates React, Next.js, TypeScript, Tailwind CSS, and shadcn/ui, with the backend running on the Next.js App Router through Server Actions and API Routes. AI features are wired through AI SDK v6. One-click database integrations cover Supabase, Neon, Upstash, and Vercel Blob, and the February 2026 release added Snowflake and AWS for enterprise data. Auth is scaffolded through the Vercel Marketplace using NextAuth/Auth.js or Clerk, rather than built in directly.
Figma in v0 reads layout and design tokens including color and spacing, and gives you the cleanest results when the source is a single-frame component instead of a sprawling page. Every PR opens a preview deployment, and the new Git panel deploys on merge. v0's own FAQ describes the audience as broad, including founders, PMs, designers, engineers, and marketers.
Copy link to headingWhat is Lovable?
Lovable calls itself an "AI App Builder" and uses the phrase "vibe coding" to describe the prompt-driven workflow. Its homepage line, "Create apps and websites by chatting with AI," captures the experience.
Copy link to headingHow Lovable works
Within a single project, Lovable offers three main modes: an Agent or Chat mode for prompts, Visual Edits for click-to-edit changes on the rendered page, and a Code Mode where you can hand-edit files in the browser. There's also a Plan Mode you can use to scope a feature before any code gets written.
Apps deploy by default to Lovable Cloud, with auto HTTPS and DNS, and custom domains on Pro and above. Because the output is a portable Vite plus React project, you can also export and deploy elsewhere, including Vercel, Netlify, Cloudflare Pages, AWS, or your own host. A Lovable export on Vercel takes Node 22, an npm run build, an output directory of dist/, and a manual pass to re-enter environment variables.
Copy link to headingKey features of Lovable
Lovable generates React, TypeScript, Vite, Tailwind, shadcn/ui, and Radix UI by default. Supabase is the default backend, providing Postgres, auth, storage, and Edge Functions in one place, while Lovable Cloud is a managed equivalent. GitHub sync is bidirectional, and there's a ZIP export, but you cannot point Lovable at an existing GitHub repo and start from there.
The integration list is long. Connectors include Supabase, Stripe, Paddle, GitHub, GitLab, HubSpot, Linear, Slack, Airtable, Shopify, BigQuery, Snowflake, Databricks, ElevenLabs, and Perplexity, among others. Lovable markets to a wide and non-developer-heavy crowd, including PMs, designers, marketers, sales, ops, founders, and enterprises, with engineers in there too. A few limits to know: no native Next.js, no Python backend, and no cold start from an existing GitHub repo.
Copy link to headingKey differences between v0 and Lovable
These two products look alike on the surface, but diverge on stack, deployment, and how code flows back to your repo.
Copy link to headingOutput scope: components versus full applications
Both products can build a full app or a single component, with different defaults. v0 leans toward apps that grow into a Next.js project over time, where each chat sits on its own branch, and the connected repo holds the latest version. Inside Lovable, the default is a complete app rendered in its canvas, with Supabase or Lovable Cloud handling the backend so one builder can stay end-to-end without leaving the tool.
The difference is most evident in how teams use the output. A v0 chat that builds a pricing page often ends as a PR an engineer reviews and merges, after which the next chat picks up from main. A Lovable session typically stays within Lovable until the app is ready to publish, with code export coming later.
Copy link to headingDefault tech stack and code ownership
Generated v0 code drops into a Next.js codebase with little extra setup. React, TypeScript, Tailwind, and shadcn/ui are what most v0 templates use, so what comes out of v0 looks like the rest of your repo and PRs stay small. Lovable uses the same component vocabulary in Vite, which keeps the dev server quick, but routing, server actions, and middleware end up looking different from those in a Next.js project.
Code ownership works differently in each tool. v0's GitHub flow keeps your repo as the canonical copy, with v0 editing through PRs. In Lovable, the master version lives in the workspace and is mirrored to GitHub or pulled as a ZIP, which adds a step whenever an engineer wants to edit code locally.
Copy link to headingBackend, database, and authentication paths
For backends, v0 builds on the Next.js App Router using Server Actions and API Routes, with AI SDK v6 covering AI features. The database integrations include Supabase, Neon, Upstash, and Vercel Blob, with Snowflake and AWS added in February 2026 for enterprise data. Auth is scaffolded through Vercel Marketplace integrations like NextAuth/Auth.js or Clerk, so you choose the auth layer rather than inheriting one.
Lovable takes a more opinionated path. Supabase is the default for Postgres, auth, storage, and Edge Functions, and Lovable Cloud is a managed version of the same shape. There is no Python option and no native Next.js, so if your existing services use either, you'll integrate with them rather than build within them.
Copy link to headingWorkflow modes and code editing
In v0, the loop runs through prompt, preview, and accept or revise. A Code view handles direct edits, and Design Mode (Option/Alt+D) handles visual changes. Underneath, the agent can search the web with citations, inspect a deployed site, plan multi-step work, and recover from its own errors without a re-prompt at every step.
Lovable spreads the same kinds of edits across more named modes. Agent or Chat mode handles prompts, Visual Edits handles click-to-edit changes on the rendered page, Code Mode covers file-level editing, and Plan Mode scopes larger changes before any code gets written.
Copy link to headingGitHub integration and code portability
v0 puts Git at the centre of the workflow. Each chat lives on its own branch with auto-commits; merges into main go through a PR, and v0 never pushes to main directly. The February 2026 sandbox runtime added repo import, which means v0 can start from an existing GitHub repo and treat it as the source of record thereafter.
Lovable supports bidirectional GitHub sync and ZIP export, which work in most cases once a project is set up in Lovable. The catch is that you cannot start by pointing Lovable at an existing GitHub repo, so adopting it on top of an in-flight codebase means rebuilding the surface you want it to edit.
Copy link to headingFigma import and design handoff
The Figma import in v0 reads layout and design tokens, including color and spacing, and works best when the source is a single-frame component rather than a full page. Pairing it with shadcn/ui as the component layer means the imported design lands as code your team can extend with the patterns the rest of the codebase already uses.
Lovable approaches design through Visual Edits inside the canvas instead of a Figma pipeline. Teams whose design system lives in Figma will probably get a smoother handoff with v0's import. Teams that design in the browser and iterate on the rendered page will feel at home in Lovable's click-to-edit.
Copy link to headingv0 vs Lovable pricing
Both tools have the same plan structure: a free tier and three paid tiers above it. v0 splits into Free, Team, Business, and Enterprise, with the message-credit and seat structure laid out on the v0 pricing page. Lovable splits into Free, Pro, Business, and Enterprise on a similar shape, with credits and feature gates that change as the product evolves.
Pricing on either side changes often, so it's worth checking the live page for current numbers. Confirm v0's plan details on its pricing page, and check Lovable's own site for current Pro, Business, and Enterprise terms before you commit.
Copy link to headingWhen to choose v0 versus Lovable
Your team's stack, your engineers' preferences, and how the output ships are usually what decide the call. The shortlist below is a useful starting point.
Copy link to headingWhen v0 is the right choice
If your team is already on Next.js, or heading there, v0 takes most of the friction out of the loop. The default stack matches what your repo runs, the GitHub flow goes through PRs, and the deploy lands on Vercel without changes to your build. A few situations where v0 is the cleaner fit:
Existing Next.js codebase: v0 imports the repo via the new sandbox runtime and works directly against it.
Engineering-led builds: the branch-per-chat plus PR-to-main flow lines up with how engineers already review code.
Production-bound work: preview deployments on every PR plus deploy-on-merge keep release cadence steady.
Design-system-driven UI: Figma import plus shadcn/ui keeps the gap between design and code small.
AI features inside the app: AI SDK v6 plus Server Actions get you from prompt to a running model in a few steps.
When more than one of those describes your project, v0 is usually the easier choice. If none of them applies, the next two sections are the ones to read carefully.
Copy link to headingWhere Lovable fits better
Lovable works well when the team is broader than just engineering, and the project can run end-to-end on Vite and Supabase. PMs, marketers, ops, and founders building internal tools or small public apps can get a long way without leaving the canvas, and the integration list, which includes Stripe, HubSpot, Linear, and more, has the connectors most non-engineering apps need.
Things change when the project starts needing Next.js routing, a Python backend, or a starting point in an existing GitHub repo. Those are limits of the tool's defaults, not failures, and most teams move to v0 on Vercel from there.
Copy link to headingUsing v0 and Lovable together
A workflow worth knowing about: Lovable handles the early exploration, and v0 handles the version that ships. A PM can stand up a working prototype in Lovable, share a live URL with the team, and validate the app's shape before any engineer touches it. Once the prototype is worth investing in, the engineering team rebuilds the surface in v0 inside the existing Next.js codebase, with the Lovable build serving as a spec.
The two tools are designed for different stages, so using them in sequence usually works better than picking one to handle both.
Copy link to headingShip production apps with v0 on Vercel
A v0 build feeds straight into a production deploy on Vercel. The branch-per-chat workflow turns each prompt into a reviewable PR, the preview URLs let the rest of the team click through changes before merge, and deploy-on-merge closes the loop without a separate release script.
If you already have a Next.js codebase, the quickest way to feel the difference is to point v0 to the repo and ship a small change end-to-end. If you're still working out the shape of the app, a template gives you a faster on-ramp than a blank prompt. Either way, you can start a new project and try it on a small scale.
Copy link to headingPicking the right AI app builder for your team
Pick whichever tool lines up with the stack you're already running and the team you've already got. v0 works well for engineering-led builds on Next.js, where the repo holds the master version, and Vercel is the deploy target. Cross-functional teams on Vite plus Supabase that care more about the click-to-edit canvas and the integration catalog than native Next.js will be happier in Lovable.
Nothing here has to be a one-way decision. A PM can run an experiment in Lovable while the engineering team keeps the production app moving in v0, and the one that produces more usable work is the one your team will keep using. Try not to pick a tool from a feature checklist that doesn't reflect the codebase your team will live in for the next year.
When you're ready to build, browse templates for a working starting point, or open the editor and ship something small.
Copy link to headingFrequently asked questions about v0 and Lovable
Copy link to headingWhich is better for non-developers, v0 or Lovable?
Both work for non-developers, and the decision on the call depends on what happens after the first prototype. Lovable's click-to-edit canvas and broad integration list suit PMs and marketers building self-contained apps. v0 also works for non-developers, and it gets more useful once an engineer takes over, since the output drops into a Next.js repo on Vercel without a rebuild.
Copy link to headingCan v0 and Lovable build full-stack apps?
Yes, both handle full-stack work. v0 integrates with databases like Supabase, Neon, Upstash, and Vercel Blob via one-click integrations and runs server logic with Next.js Server Actions and API Routes, using the AI SDK v6 for AI features. Lovable defaults to Supabase or Lovable Cloud for the same capabilities, with the frontend running on Vite instead of Next.js.
Copy link to headingCan you export code from v0 and Lovable?
Yes. v0 connects directly to GitHub through a branch-per-chat flow and a PR-based merge into main, so the code is in your repo from the first prompt, with no separate export step. Lovable offers bidirectional GitHub sync and a ZIP export, and Lovable apps can be redeployed on Vercel using Node 22, npm run build, and an output directory of dist/, with environment variables re-entered manually.
Copy link to headingWhich one fits a Next.js codebase?
For a Next.js codebase, v0 is usually the easier path in. Its default stack is React, Next.js, TypeScript, Tailwind, and shadcn/ui, and the February 2026 update added repo import, so v0 can start from your existing project rather than a blank one. Lovable produces React on Vite, which is portable, but you don't get Next.js routing, Server Actions, or middleware.