Prototype to Production

7 AI App Builders and the Tech Stacks They Generate

Same pitch, wildly different code underneath. Here is what actually lands in your repo when Lovable, Bolt.new, v0, Replit, Base44 or Cursor finish generating.

September 8, 20269 min read

Author
Hussein Janoowala
Head of Delivery | Data & AI

Key Takeaways

  • Four of the seven builders in this comparison (Lovable, Bolt.new, Base44, and v0's shared component layer) converge on Tailwind CSS and shadcn/ui, but only v0 generates Next.js instead of a Vite-based React app.
  • Without security guidance in the prompt, about 45% of AI-generated code samples introduce an OWASP Top 10 class vulnerability, and only around 55% of generation tasks produce secure code at all, per Veracode's Spring 2026 benchmark of 100+ models.
  • Lovable and Replit are the two builders named most often in the paid app-repair market, appearing in 53% and 45% of 38 sampled repair listings, evidence that the generated stack is usually what breaks, not the original idea.

This guide is for: For anyone comparing AI app builders before picking one, or trying to work out what they already built themselves.

In this article

What tech stack does an AI app builder actually generate?

Most AI app builders generate a React and TypeScript frontend, styled with Tailwind CSS and shadcn/ui, scaffolded by Vite. Where they stop agreeing is the backend: some wire in a hosted database and auth by default, some hand you a full Node.js environment and let the model decide, and one imposes no stack at all.

That split matters more than any feature list. The frontend you get from Lovable, Bolt.new or Base44 is close to interchangeable. What decides whether you can move the app to another host or another team later is the data layer, and how tightly auth and business logic are bound to one vendor's SDK. This list ranks seven tools on exactly that: what lands in the repo, and how coupled it is once it does.

What does 'full-stack' really mean across AI app builders?

Full-stack does not mean the same thing from one AI app builder to the next. It ranges from a hosted database plus authentication bundled in by default, to a managed Postgres instance with a generated ORM layer, to a full backend SDK you cannot easily unwind, to no backend commitment whatsoever.

What it is: A framing check before the individual builder entries: "full-stack" is a marketing word that covers at least four different technical shapes, and comparing tools on that word alone hides the decision that actually matters.

Best for: Anyone about to pick a builder based on a "full-stack" claim on a landing page.

Why it ranks here: This is not a builder, so it does not compete for a numbered slot. It sets the lens the rest of the list uses: not which stack is best, but what you inherit and how hard it is to leave.

Limitations - A framing section cannot substitute for reading a specific vendor's own docs before you commit code to their stack. - Vendors update their default stack over time, so re-check the current docs before treating any single detail here as permanent.

Choose this if - You are comparing more than one builder and want a shared vocabulary before the vendor pitches start sounding identical. - You already have a live app and want to know which category of "full-stack" it actually fell into. - You need to explain the tradeoff to a non-technical cofounder in one sentence: bundled and easy now, or portable and free later.

Lovable: React and Supabase, bundled by default?

Lovable is a strong default for a non-technical founder who wants a working app fast and does not mind the backend living inside Supabase. It generates a React and TypeScript single-page app scaffolded with Vite and styled with Tailwind CSS and shadcn/ui, wired to Supabase for the database, authentication, file storage and serverless Edge Functions.

What it is: A prompt-to-app builder whose generated frontend code is exportable to your own GitHub repository, with Supabase handling everything the app needs on the backend out of the box.

Best for: A founder who wants Postgres, auth and file storage working on day one without configuring any of it by hand.

Why it ranks here: It ranks near the top of this list because the frontend is conventional and the backend is a real, standards-based Postgres database, not a proprietary format. It is not first because Supabase becomes the coupling point: auth, storage and functions are all tied to that one platform, and untangling them later is real work, not a toggle. That coupling is the exact reason a stuck build ends up needing an architect-led migration rather than a five-minute export. Joylo's migration off a coupled backend is free, fixed-price for a customized one.

Implementation reality - Timeline: minutes to scaffold a working prototype; the ongoing effort scales with how far past the demo you push the Supabase-bound backend. - Team effort: one person for the initial build; a developer or an outside engineer once you need to modify the Supabase schema or Edge Functions directly. - Maintenance: grows with usage, since Supabase billing and limits apply on top of Lovable's own.

Limitations - Auth, storage and serverless functions are all Supabase-specific, so migrating off Supabase later means re-implementing each of them. - The frontend code exports cleanly to GitHub, but the backend does not travel with it in the same way.

Choose this if - You need a working database, login and file storage inside the first afternoon of building. - You are comfortable staying on Supabase for the life of the app, or accepting a paid migration if you are not. - You have zero backend engineering time to spend before you need something a user can log into.

Bolt.new: what stack does a WebContainer actually produce?

Bolt.new runs the generated app inside a StackBlitz WebContainer, a full Node.js environment in the browser, and the default output is a Vite-based React project with a real package.json, source folder and dev server. Unlike Lovable, it does not commit you to a backend at all.

What it is: A browser-based builder where the model has direct control of the filesystem, package manager, terminal and dev server, rather than generating files it hands off for you to run elsewhere.

Best for: Someone who wants to see and touch a running dev environment immediately, including the terminal, without installing anything locally.

Why it ranks here: It ranks in the middle of this list because the WebContainer model is genuinely different from a static file generator, but the lack of a default backend means the actual data layer decision still lands on you, or on the model's in-the-moment choice, rather than being a deliberate architecture pick.

Implementation reality - Timeline: minutes to a running dev server in the browser; a persistent backend is a separate decision you or the model still has to make. - Team effort: one person to prompt the build; a developer once the app needs a real database rather than whatever the model improvised. - Maintenance: depends entirely on what backend gets bolted on afterward, since Bolt.new itself does not standardize one.

Limitations - No default backend means no guaranteed database, auth or storage layer unless the model adds one during generation. - A WebContainer is not a production hosting environment on its own; the app still needs a real deploy target.

Choose this if - You want to see the full dev environment, including a real terminal, inside the browser as you build. - You are comfortable choosing or reviewing whatever backend the model wires in, rather than inheriting a fixed one. - You are prototyping an idea and have not yet decided what the production data layer should be.

Recommended readingAI App Builders: Prototype Toys or Production Tools?The demo worked. That's not the same as ready for real users. Here's the honest, evidence-backed answer on whether an AI app builder can actually ship to production.

v0: why is Next.js the outlier frontend?

v0 generates full-stack applications on Next.js with React and TypeScript, not the Vite-based single-page app most other builders default to, using Tailwind CSS and shadcn/ui as the same shared component layer. It is built by Vercel and deploys straight to Vercel's own hosting.

What it is: A generator whose output uses React Server Components and the Next.js App Router, meaning the generated code assumes a Next.js-shaped project rather than a plain client-side React app.

Best for: A team that already runs Next.js, or a founder happy to standardize on Vercel's hosting and deployment model.

Why it ranks here: It ranks alongside Lovable rather than above it because the Next.js choice is a genuine architectural difference, not a superficial one. v0's own documentation is explicit that the generated code uses open-source libraries rather than proprietary abstractions, so it can be copied into an existing Next.js repository, which is a real portability advantage on the frontend even though the framework choice itself is less flexible than a plain SPA.

Implementation reality - Timeline: minutes to a deployed Next.js app on Vercel; longer if you are retrofitting v0 output into an existing non-Next.js codebase. - Team effort: one person for a new build; a developer familiar with the App Router if merging output into an existing Next.js project. - Maintenance: standard Next.js and Vercel maintenance, plus whatever backend or database you pair it with.

Limitations - Generated code assumes a Next.js project structure, so it is not a drop-in fit for a plain Vite or Create React App codebase. - v0 does not bundle a database or auth layer the way Lovable or Base44 do; that is a separate decision.

Choose this if - Your team already writes Next.js and wants generated components that merge cleanly into that codebase. - You are fine deploying to Vercel as the default hosting target. - You value the open-source, non-proprietary component layer over a fully bundled backend.

Replit: what does a managed Postgres and ORM layer get you?

Replit Apps ship with a fully managed SQL, specifically PostgreSQL, database by default, and when the Agent adds the database integration it also generates an ORM layer that handles all database communication, with schema validation and input sanitization against SQL injection built in.

What it is: An agent-driven builder where the generated backend talks to a real, managed Postgres instance through code the Agent writes for you, rather than through a separate third-party platform's SDK.

Best for: Someone who wants a conventional relational database from the start, with basic protection against the most common database attack already wired in.

Why it ranks here: It ranks above the bundled-SDK builders on this list because the database is standard Postgres rather than a proprietary format, which is the same portability test that separates a coupled stack from a conventional one. It is not first because the ORM layer and schema decisions are still generated code, and generated code, per named security research, does not consistently avoid the OWASP Top 10 class of vulnerabilities without explicit prompting. Joylo runs that same risk through a real-time AI Confidence Score on every build.

Implementation reality - Timeline: minutes to add the database integration and get a working ORM layer; longer to review the generated schema and queries before real traffic hits it. - Team effort: one person to build; a developer to review the Agent-generated ORM code before it handles real user data. - Maintenance: standard managed-Postgres maintenance, plus periodic review of Agent-added database code as the schema grows.

Limitations - Input sanitization is generated by the Agent, not guaranteed by a human review, so it should still be checked before production traffic. - A managed database does not remove the need to review the application-level authorization logic sitting in front of it.

Choose this if - You want a real relational database from day one instead of a NoSQL store or a proprietary format. - You are willing to review Agent-generated database code before real users touch it. - You need basic SQL injection protection built into the generated layer as a starting point, not a finished audit.

Base44: what do you inherit when a builder bundles everything into one SDK?

Base44 generates a React and React Router frontend built with Vite, styled with Tailwind CSS and shadcn/ui, backed by serverless functions on the Deno runtime, a managed NoSQL database, built-in authentication and WebSocket realtime updates, all reached through one typed SDK and CLI.

What it is: The most complete out-of-the-box bundle in this list: database, auth, realtime, storage, functions, integrations and hosting are all part of the same managed platform rather than assembled from separate services.

Best for: Someone who wants realtime features and a full backend working immediately and is not planning to move off the platform soon.

Why it ranks here: It ranks lowest on the code-portability dimension in this list precisely because it is the most complete. Bundling database, auth, realtime, storage and functions behind one SDK is genuinely convenient, but it is also the deepest coupling point here: there is no standard export like a Postgres pg_dump for a proprietary NoSQL store reached only through a vendor SDK. Joylo bets the other way: a Postgres-via-Neon stack a pg_dump can move anywhere.

Implementation reality - Timeline: minutes to a fully working backend with realtime features included; migrating off it later is a project, not a setting. - Team effort: one person to build on the platform; an architect-led migration if you later need to move the data layer elsewhere. - Maintenance: low day-to-day maintenance while you stay on the platform, since Base44 manages the infrastructure itself.

Limitations - The managed NoSQL database has no standard, vendor-neutral export path the way a conventional Postgres database does. - Authentication, realtime and functions are all reached through Base44's own SDK, so none of them travel independently if you leave.

Choose this if - You want realtime updates and a complete backend without assembling separate services yourself. - You are not planning to move the app to a different platform in the near term. - You are comfortable accepting a coupled data layer in exchange for the fastest path to a fully working backend.

Recommended readingHow to Connect an AI-Built App to a Real BackendYour AI builder already wired up a database. Here's how to check whether it locked the front door too, before real users find out it didn't.

Does any AI app builder generate a real mobile app?

No. Lovable, Bolt.new, v0 and Base44 all generate browser applications, React or Next.js running in a web runtime, not native iOS or Android binaries. What reads as "mobile" from these tools is a responsive web app or a PWA wrapper, not something you submit to an app store.

What it is: A stack fact rather than a builder entry: none of the generator-class tools in this list output a native mobile binary by default.

Best for: Anyone evaluating these builders specifically because a landing page mentioned building "web and mobile apps in minutes."

Why it ranks here: This earns its own section instead of a footnote because it changes the buying decision. A React single-page app generated by any of these tools cannot be submitted to the App Store or Google Play without adding a separate native or wrapper layer, which is real engineering work with its own build, signing and store-review pipeline.

Implementation reality - Timeline: a responsive web build ships in the same session as the rest of the app; a real native app is a separate project with its own store-submission timeline. - Team effort: one person for the web build; a developer familiar with React Native or native iOS and Android for the mobile layer. - Maintenance: two codebases to maintain if you add a genuine native layer on top of the generated web app.

Limitations - A generated web app cannot be listed in an app store as-is, no matter how responsive it looks on a phone screen. - A PWA wrapper narrows this gap but still does not match every native capability a store listing might require.

Choose this if - A responsive website that works well on a phone is genuinely all you need right now. - You are planning a separate native build later and treating the generated web app as the first, faster milestone. - You have not yet confirmed whether your users actually need an app-store presence before you build one.

Cursor and the editor-class exception: what happens when nothing is generated for you?

Cursor generates nothing on its own. It is an AI editor that operates on an existing local repository rather than a hosted app generator, so it imposes no stack of its own: the stack is whatever the repo already is, and every architecture decision stays with the person driving it.

What it is: An editor-class tool, not a generator-class one. Lovable, Bolt.new, v0, Base44 and Replit's Agent decide the stack for you and largely hide the decision; Cursor assumes a developer is already making those decisions and simply helps write the code inside them.

Best for: A developer with an existing codebase who wants AI assistance without inheriting a new vendor's opinionated stack.

Why it ranks here: It sits outside the numbered comparison because it is not competing on stack choice at all, it is the control case that shows what a generator-class tool actually removes from your hands. And what that removal costs shows up in named security research: without explicit security guidance in the prompt, roughly 45% of AI-generated samples introduce an OWASP Top 10 class vulnerability, and a systematic analysis of iterative refinement found security degrades across successive rounds rather than improving as the app gets re-prompted toward working. The person who never chose the stack is also the person least likely to catch what is wrong with it.

That gap is exactly why a conventional, reviewable stack still needs someone reviewing it. The engineers behind Expert Assist earned their qualifications on HST's enterprise projects, full-stack developers certified across React, Node.js and PostgreSQL.

Implementation reality - Timeline: no generation step at all; Cursor speeds up writing code inside a stack you already chose. - Team effort: requires a developer already driving the repo, since there is no generated scaffold to hand a non-technical founder. - Maintenance: identical to maintaining any hand-built codebase, since Cursor changes how code gets written, not what stack it runs on.

Limitations - There is no generated app to hand a non-technical founder; Cursor assumes someone is already writing and reviewing code. - It does not solve the review gap that generator-class tools create, it simply never creates that gap in the first place.

Choose this if - You already have a developer and an existing repository, and want AI help inside your own chosen stack. - You specifically do not want a vendor's opinionated backend or SDK layered into your app. - You have the engineering judgment on your team to review what the AI writes before it ships.

Which AI App Builder Actually Fits Your Situation?

The right builder depends on your stage, not which one scores highest on portability. A founder validating an idea in two weeks needs Lovable's bundled backend. A team shipping a realtime feature with no plan to switch platforms soon is often better served by Base44, despite its low portability score.

What it is: A cross-builder decision layer: situations that resolve differently than the ranking alone suggests.

Best for: Anyone mapping budget, timeline and team size onto a builder above.

Why it ranks here: It sits outside the ranking because team size, timeline and whether the app already shipped move the answer, not portability alone.

Limitations - Joylo's production guarantee covers the build being production-ready, not a guaranteed business outcome.

Choose this if - You want to map your timeline, team size and budget onto a builder ranked above. - Your app already shipped and broke - the question is who fixes it, not which builder to pick.

The founder validating an idea in two weeks

A non-technical founder with a two-week deadline and no engineering hire should default to Lovable. The bundled Supabase backend gives a working database, login and storage in one step.

When the lower-ranked option is the right call

A two-person team building a realtime feature, live cursors and instant sync, with no plan to switch platforms for a year, is better served by Base44 despite ranking lowest here on portability - one SDK removes work the team cannot spare.

The app that already shipped and broke

A founder whose Lovable-built app passed every demo but failed once paying customers logged in needs a fix, not a new builder. Joylo's Expert Assist puts a named in-house engineer into that codebase at a fixed price, 24-hour first response, instead of starting over.

Frequently asked questions

Is 'gen AI tech stack' the same as the stack an AI app builder writes for you?

No, the phrase covers two different things: the stack the AI model itself runs on (provider, orchestration, vector store), and the stack it writes into your repository (React or Next.js, Tailwind CSS, a Postgres or NoSQL database) - which is what most people searching this phrase actually want.

Why do most AI app builders default to React and Tailwind CSS?

Lovable, Bolt.new, Base44 and v0 all share the same Tailwind CSS and shadcn/ui component layer because it is a well-documented, open-source standard that generates cleanly and predictably. That shared layer is also why the frontend across these builders is roughly interchangeable; the real differences show up in the backend.

Which AI app builder's generated code is easiest to move to another host?

A conventional Postgres database, the kind Replit provisions and the kind a standard pg_dump can extract in full, is the easiest to move to any other host. A managed NoSQL store or auth layer reached only through a vendor's own SDK, like Base44's bundle, is the hardest to extract.

Do AI-generated apps ship with security vulnerabilities by default?

Often, yes. Veracode's Spring 2026 benchmark of over 100 models found only about 55% of generation tasks produce secure code, and roughly 45% introduce an OWASP Top 10 class vulnerability with no security guidance in the prompt. A separate analysis found iterative refinement makes security worse across rounds, not better.

Written by

Hussein Janoowala
Head of Delivery | Data & AI

Hussein is Head of Delivery, Data & AI at Joylo, with 8+ years building and shipping software. He leads the team that turns AI-built apps into production-ready systems founders can trust. His focus is engineering accountability: making sure what ships actually holds up under real users and real traffic.

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