How to Deploy Vibe Coded Apps to Production in 7 Steps

How to deploy vibe coded apps comes down to seven steps. You identify your stack, fix the three bugs AI code always ships with, then push to GitHub and connect the repo to a matching host.

Static apps go live on Vercel or Netlify in a couple of minutes. Full-stack apps need Railway, Render, or a similar runtime platform.

The gap between a working localhost and a live URL is where most vibe coders get stuck, usually because they picked the wrong kind of host before checking what their app is.

I worked through this on apps generated by Claude, Cursor, Lovable, and Bolt, and the failure modes repeat every time.

Here are the seven steps, the traps that break AI-generated code in production, and the changes that occur once real users and business data are involved.

How to deploy vibe coded apps: the 7 steps

Here's the whole process before the details:

1. Identify your stack, so you pick the right kind of host.
2. Fix the three bugs AI always leaves, from localhost URLs to CORS.
3. Handle your database and avoid the SQLite trap.
4. Move secrets into environment variables.
5. Push to GitHub and connect your repository.
6. Deploy and add a custom domain.
7. Monitor what you shipped.

1. Identify your stack

This decision determines everything else, and it's the step people skip. Deploy to the wrong kind of host, and you'll spend an hour on errors that have nothing to do with your code.

Open your project folder and check what the AI generated:

• Static app: Plain HTML, CSS, and JavaScript, or a React, Vue, or Next.js frontend with no backend of its own. It talks to APIs directly from the browser.
• Full-stack app: Anything with a server file, an Express or FastAPI app, background jobs, or a database it writes to.
• Python app: A FastAPI, Flask, or Django project, which needs a runtime environment to execute code.
• Mixed: A frontend plus a separate API, which you may deploy as two services.

Pro tip: If you can't tell, look for a server.js, app.py, or main.py file, or a start script in package.json. Their presence means you have a backend and need a runtime environment.

2. Fix the three bugs AI always leaves

AI-generated code runs beautifully on localhost and then falls over on a real server. Three problems account for most of it, and fixing them before you deploy saves a long debugging session.

Here's what to look for:

• Hardcoded localhost URLs: AI writes http://localhost:3000 into fetch calls. Replace these with relative paths or an environment variable, since localhost means nothing on a server.
• Missing environment variables: API keys and connection strings often sit inline in the code. Every one needs to move into your host's environment settings.
• CORS errors: If your frontend and backend are separate services, the backend needs to explicitly allow your frontend's live domain, as well as localhost.

Paste the exact error into whichever AI tool built the app and ask it to fix the configuration. It handles these well when you give it the full log.

3. Handle your database and avoid the SQLite trap

This trap catches the most vibe coders, and it's worth understanding before you choose a host.

Serverless platforms have ephemeral file systems. Vercel, Netlify, and Cloudflare Pages rebuild your app's environment on every deploy, so a SQLite file stored alongside your code disappears each time.

You have two clean options:

• Use a hosted database: Point your app at managed Postgres from Supabase or Neon and pass the connection string as an environment variable. With Prisma or another ORM, the switch is a one-line config change.
• Use a platform with persistent storage: Deploy to Railway with a persistent volume, to Render with a mounted disk, or to a VPS, and keep SQLite as is.

Both routes work. Hosted Postgres scales better, and persistent volumes keep your code unchanged.

4. Move secrets into environment variables

Every hardcoded API key, database password, and token in AI-generated code needs to move into your host's environment variable settings before you deploy.

This matters more than it sounds. Committing a secret to a public GitHub repository exposes it immediately, and a Cloud Security Alliance research note recorded a 3.2% secret-leak rate on AI-assisted commits, against a 1.5% baseline.

Our vibe coding security guide covers the failure modes in depth.

In practice, add each value to your platform's dashboard and reference it in code as process.env.MY_KEY or os.environ["MY_KEY"], and add .env to your .gitignore before the first commit.

5. Push to GitHub and connect your repository

Nearly every modern host deploys from a Git repository, so this is the bridge between local and live environments.

Create a repository, commit your project, and push. Then in your chosen platform, connect the repository and let it detect your framework.

Match the host to the stack you identified in step one:

• Static apps: Vercel, Netlify, or Cloudflare Pages, all free for personal projects and live in a couple of minutes.
• Full-stack apps: Railway or Render, which run a real server process and offer managed databases alongside.
• Python apps: Render, Railway, or Fly.io, all of which handle Python runtimes cleanly.
• Enterprise or regulated apps: A platform with secrets management, environment isolation, and audit logging, which the consumer hosts leave out.

6. Deploy and add a custom domain

Trigger the first deploy and watch the build log. A failed build almost always means a missing build command or the wrong output directory, so copy the full log into your AI tool and ask it to fix the build configuration.

Once you have a live HTTPS URL, add your domain. On most platforms, that means adding the domain in the dashboard, then pointing a CNAME record at the host from your registrar. SSL is usually provisioned automatically.

7. Monitor what you shipped

Deployment starts the next phase, since AI-generated code tends to fail in ways that only become apparent in real use.

Turn on your platform's error logging and check it after the first real traffic. Watch for unhandled errors, slow database queries, and anything touching authentication.

Set up a free uptime check so you learn about downtime before your users tell you.

Where AI-generated apps break in production

Beyond the deploy steps, a few patterns cause most post-launch failures. Knowing them shapes what you check first:

• No input validation: AI often skips it, leaving forms open to bad data and injection attacks.
• Weak or missing authentication: Generated auth flows often appear complete but lack session handling or access checks.
• Client-side secrets: Keys placed in frontend code are visible to anyone who opens developer tools.
• No rate limiting: An unprotected public endpoint is an easy target for abuse and surprise bills.

Run a security pass before inviting real users. Our roundup of secure vibe coding tools covers tools that catch these automatically.

Deploying vibe coded apps at work: what changes

Shipping a side project and shipping an internal tool on company data are different problems. The seven steps still apply, and a few requirements get added on top.

Enterprise deployment needs controls the consumer hosts weren't built for:

• Secrets management: Centrally managed credentials in place of values pasted into a dashboard.
• Scoped database credentials: Each app reaches only the data its users are permitted to see.
• Environment isolation: Separate development, staging, and production, with a defined promotion path.
• RBAC and SSO: Access tied to your identity provider, so logins stay centralized.
• Audit logging: A record of who deployed what and when, exportable to your security stack.

Shadow AI is the new shadow IT, and every AI-built internal app without these controls becomes something nobody can inventory. Our AI code governance tools roundup compares options for enforcing them.

Skip deployment entirely for internal apps

For internal tools, the best answer to deployment is to remove the step. Platforms built for governed AI app building handle hosting, access control, and data connections as part of the platform.

Superblocks is the governed enterprise vibe coding platform, built on a SOC 2- and HIPAA-aligned foundation, where apps built with AI deploy within the guardrails IT sets once.

RBAC, audit logs, and an on-premises agent keep data in your VPC. There's no separate host to configure, and you can still export the app as React code.

For example, Virgin Voyages had non-technical teams build 15+ production apps across seven departments with governance intact. Teams comparing AI app generation platforms can see how that differs from a consumer host.

To try governed app building for yourself, start with the Superblocks Quickstart Guide.

Or book a demo to see Clark AI generating governed apps in your own environment.

Frequently asked questions

How do you deploy vibe coded apps?

You deploy vibe coded apps by identifying your stack, fixing localhost URLs, moving secrets out of code, and then connecting a GitHub repository to a matching host. Static apps suit Vercel, and full-stack apps need Railway.

Can you deploy a vibe coded app for free?

Yes, you can deploy most vibe coded apps for free. Vercel, Netlify, and Cloudflare Pages have free tiers for static apps, and Railway and Render offer low-cost tiers for full-stack apps. Supabase and Neon provide free Postgres.

Why does my vibe coded app break after deploying?

Your vibe coded app usually breaks after deploying because of hardcoded localhost URLs, missing environment variables, or CORS misconfiguration. A SQLite database on a serverless host is the fourth common cause.

What is the best platform to deploy a vibe coded app?

The best platform for deploying a vibe coded app depends on your stack. Vercel and Netlify are for static frontends; Railway and Render are for full-stack apps that need a persistent server; and a governed platform is for internal tools on company data.

Can I use vibe coding with hosting?

Yes, you can use vibe coding with any standard hosting provider. Vibe coded apps produce ordinary code, so they deploy to Vercel, Netlify, Railway, Render, or a VPS like any other project. Match the host to your stack.

Do you need to know DevOps to deploy a vibe coded app?

You don't need DevOps knowledge to deploy a vibe coded app. Modern platforms detect your framework, build from a Git repository, and provision SSL automatically, so most deployments take minutes.

Is it safe to deploy AI-generated code to production?

Deploying AI-generated code to production is safe only after review. AI commonly omits input validation, rate limiting, and complete authentication, and it leaks secrets more often than hand-written code.