Updated Nov 5, 20266 min read

Replit Alternatives in 2026: Where to Build and Run an AI-Built App

Replit bundles an AI agent, an editor, a database and hosting. The alternatives split those pieces differently, and the right one depends on whether you need a prototype or a backend that runs in your own cloud.

Replit puts an AI agent, a browser editor, a Postgres database and hosting in one product, so a prompt can become a published app in one place. Teams look at alternatives when the app outgrows that bundle, for example when it needs to run in the company's AWS account, or when developers want to work in their own editor and repository.

The alternatives below cover each part of that bundle: where the code is generated, where it is edited, and where the backend and database run in production.

Replit alternatives at a glance

OptionWhat it replacesWhere the backend runsDatabaseBest fit
EncoreBackend and hostingYour AWS or GCP accountPostgres declared in code, RDS or Cloud SQLRunning an AI-built backend in your own cloud
LovableAgent, editor and hostingLovable CloudSupabase-based, or your own Supabase projectPrompt-to-app prototypes with a web UI
BoltAgent, editor and hostingBolt CloudBuilt-in database in Bolt CloudFull-stack prototypes that run in the browser
v0Agent and frontend hostingVercelVercel Marketplace providersNext.js apps for teams on Vercel
CursorAgent and editorWherever you deployWhatever the repo usesAI coding in an existing repository
GitHub CodespacesCloud editorWherever you deployWhatever the repo usesCloud dev environments for a team repo

Each option is covered below, starting with Encore.

Running an AI-built backend in your AWS or GCP account with Encore

Encore

Encore is infrastructure from code for TypeScript and Go, with a platform that provisions and deploys into your own AWS or GCP account. Services declare the Postgres databases, Pub/Sub topics, cron jobs and buckets they use in code, and Encore provisions them in your own cloud account on each deploy, and Encore provisions an IAM role for the service.

Application code passes through Encore and infrastructure guardrails to resources provisioned in your own AWS or GCP account.
Encore provisions the infrastructure your application needs in your own AWS or GCP account.

A feedback service with its own database looks like this in TypeScript:

// feedback/feedback.ts import { api } from "encore.dev/api"; import { SQLDatabase } from "encore.dev/storage/sqldb"; const db = new SQLDatabase("feedback", { migrations: "./migrations" }); interface Feedback { id: number; email: string; message: string; } export const submit = api( { expose: true, method: "POST", path: "/feedback" }, async (req: { email: string; message: string }): Promise<Feedback> => { const row = await db.queryRow<Feedback>` INSERT INTO feedback (email, message) VALUES (${req.email}, ${req.message}) RETURNING id, email, message`; return row!; }, ); export const list = api( { expose: true, method: "GET", path: "/feedback" }, async (): Promise<{ items: Feedback[] }> => { const items: Feedback[] = []; for await (const row of db.query<Feedback>` SELECT id, email, message FROM feedback ORDER BY id DESC LIMIT 50`) { items.push(row); } return { items }; }, );

The migration in feedback/migrations creates the feedback table the queries use:

-- feedback/migrations/1_create_feedback.up.sql CREATE TABLE feedback ( id BIGSERIAL PRIMARY KEY, email TEXT NOT NULL, message TEXT NOT NULL );
Get started
brew install encoredev/tap/encore &&
encore app create
Copy

Run in your terminal to get started locally.

encore run starts Postgres locally and applies the migrations, so the app runs on a laptop the same way it runs in the cloud. encore gen client generates a typed client for a frontend hosted on Vercel or Netlify.

An agent working in an Encore app adds a database or topic by writing one declaration next to the code that uses it, and the platform creates the resource. Encore provisions an IAM role for the service when it deploys. Moving an app built in Replit usually means keeping the frontend, porting the backend routes to api() endpoints, and turning the current schema into the first migration file.

Best fit: teams that want an AI-built backend to run in their own AWS or GCP account with databases, queues and cron provisioned for them.

Lovable

Lovable

Lovable builds web apps from prompts and gives each project a backend through Lovable Cloud, a managed Supabase-based backend, or through a Supabase project you connect yourself. Projects can sync two-way with GitHub, and the repository includes migrations and Edge Functions but not database records or stored files.

Lovable Cloud projects are not visible in your own Supabase dashboard, so moving to your own Supabase project later is a manual migration.

Best fit: non-developers and product teams who want a working web app from a prompt.

Bolt

Bolt

Bolt, from StackBlitz, runs its development environment in the browser on WebContainers, so Node.js and a dev server run without a local install. Bolt Cloud adds hosting, a built-in database, authentication and server functions, with sites published to bolt.host.

WebContainers cannot run native binaries or native Node modules, which limits some backend libraries during development.

Best fit: quick full-stack prototypes where nobody wants to install anything.

v0

v0

v0, from Vercel, generates apps from prompts and defaults to Next.js for full-stack work, with server actions and API routes. Projects connect to GitHub, and publishing merges the working branch and deploys it to the connected Vercel project.

Databases come from Vercel Marketplace providers, and the backend runs as Vercel Functions with their duration and body size limits.

Best fit: frontend-heavy Next.js apps for teams already deploying on Vercel.

Cursor

Cursor

Cursor is an AI code editor with an agent that edits files, runs commands and works across a local repository. It replaces Replit's agent and editor but not its hosting or database, so deployment is whatever the repository already uses.

Pairing it with infrastructure from code keeps the agent's changes reviewable as code, which our guide on the best backend for Cursor covers.

Best fit: developers who want an AI agent inside their own repository and editor.

GitHub Codespaces

GitHub Codespaces

GitHub Codespaces starts a cloud development environment for a repository from a devcontainer.json, reachable from the browser or VS Code. It replaces Replit's browser workspace for teams whose code already lives on GitHub, with Copilot available inside it.

Codespaces is for development only, so production hosting still has to come from somewhere else.

Best fit: teams that want shared, reproducible cloud dev environments for an existing repository.

How to choose

Choose Lovable, Bolt or v0 when the goal is a prototype from a prompt and the platform's hosting is acceptable, and Cursor or Codespaces when developers want an agent or a cloud workspace on an existing repository. Choose Encore when the backend has to run in your own AWS or GCP account with Postgres, Pub/Sub and cron provisioned from the code.

For internal tools built with agents, the guide to governing vibe-coded internal apps on AWS covers access and review.

Frequently asked questions

What is the best alternative to Replit?

Lovable or Bolt for prompt-to-app prototypes with a managed backend, v0 for Next.js apps deployed to Vercel, Cursor for AI coding in a local repository, and GitHub Codespaces for cloud development environments.

Can I move a Replit app to AWS?

You can connect the Replit App to GitHub, package the backend as a container image and run it on an AWS service such as ECS Fargate, with the database moved to RDS. Data has to be exported from Replit and imported into the new database separately.

Does Replit host apps in my own cloud account?

Replit's Autoscale, Reserved VM, Static and Scheduled deployments run on Replit's infrastructure, and production databases are managed by Replit, so apps do not run in your own cloud account.

How do I add a database to an AI-built TypeScript backend?

With Encore, declare new SQLDatabase("name", { migrations: "./migrations" }) in the service and query it with db.queryRow and db.query tagged templates. encore run starts Postgres locally and applies the migrations, and each deploy provisions the database in your cloud.

Deploy to your cloud on AWS and Google Cloud
without managing infrastructure

Encore lets developers and agents define application infrastructure directly in code, then automatically provisions it from local development to production in your AWS or GCP account.

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