How to Deploy an AI-Generated App: Hosting, Domains and Monitoring

AI builders and coding agents make it remarkably easy to get a preview URL. The gap between a preview and a production service is where most trouble starts. A preview can disappear, change behind your back or run on resources never meant for traffic. This guide walks through the pieces of a sound deployment, in the order we usually address them.

1. Know what you are deploying

List the components: front end, backend or serverless functions, database, file storage, authentication, email, payment provider and any AI model APIs. For each, write down who hosts it, who pays for it and who can access it. Many AI-generated apps depend on a platform's built-in services, which is convenient but also a dependency. Check the vendor's terms and export options so you know your exit path; our article on migrating off an AI app builder explains why.

2. Separate environments

• Development: where agents and developers experiment, with fake data.
• Staging: a production-like copy for final checks and beta users.
• Production: real users, real data, tightly controlled access.

Never point a coding agent at the production database or give it production credentials. Agents are fast, and mistakes made fast are still mistakes.

3. Domains, DNS and TLS

Register the domain in your company's name, with at least two administrators. Configure DNS records carefully, and use HTTPS everywhere; most modern hosts provision certificates automatically, but verify renewal. Set up email authentication records for your sending domain if the app sends mail, so messages do not end up in spam. For mobile apps, a stable domain also matters for universal links and app links, covered in our guide to deep links for converted apps.

4. Secrets and configuration

Store secrets in the hosting platform's secret manager or a dedicated vault, not in the repository and not in client-side code. Rotate any key that has ever been committed or pasted into a chat. Separate keys per environment, and restrict each key to the minimum permissions it needs.

5. Data protection and backups

1. Enable automatic database backups and know the retention period.
2. Perform a test restore; an untested backup is only a hope.
3. Encrypt data in transit and at rest where the platform supports it.
4. Choose a hosting region that matches your legal needs; EU hosting is often required for GDPR-sensitive projects.
5. Document who can access production data and why.

6. Monitoring and rollback

At minimum you need an uptime check, error tracking with alerts, and basic performance metrics. Decide who gets the alert at night. Prepare a rollback: keep the previous build available, version your database migrations and make sure you can revert without improvising. Run a short post-deployment checklist: sign up, log in, pay, receive an email, delete an account.

A pre-launch drill

One week before launch, run a rehearsal. Deploy to staging from scratch using only the written steps, restore a backup into a test database, trigger an alert on purpose and roll back a release. Time each step. Teams that run this drill once usually find at least one assumption that would have hurt in production, such as a certificate that expires next month, a secret that exists only on a laptop or a migration that cannot be reversed. Also decide in advance who can approve a production change, and how emergencies are handled outside office hours, so that nobody improvises under pressure.

How apprat.io approaches deployment

Coding agents can write infrastructure files and deployment scripts, and we use them for that. An AI Code Engineer then reviews every change, decides which settings are safe, tests the result and stays accountable for the release. Our ISO 27001 certified information security processes and ISO 9001 quality management shape how access, secrets and changes are handled, and 24/7 phone support in English and German is available at +49 761 519 751 50. If your AI-generated app needs a production setup, see our development service or book a call for free.

Next steps

Once the backend is stable, connect it to your mobile apps. If you use Supabase, read our guide to a Supabase backend behind a store app. For growth beyond the first users, continue with scaling an AI-built MVP.