How to Set Up Support for Your AI-Generated Apps

“Hey, I can't log in.”

“My data's gone missing.”

“Could you take a quick look?”

Imagine messages like these start coming in because of an app you built with AI just a few days ago. That's exactly the kind of experience I asked about on LinkedIn:

• How do you handle running your vibe-coded apps? Do you have monitoring, support, an agreed SLA?
• Or are you going full punk and hoping you can somehow prompt your way out of trouble?

The comments under the post brought plenty of opinions and several good approaches. Plus one spot-on line from Filip Dadi: “Vibe coding democratized development. And with it, on-call duty.”

When the CEO Builds an App

Vibe coding dramatically shortens the path from “this would help us” to “let's make it happen”. Someone who knows the problem well can build a first solution, show it to colleagues and find out right away whether it makes sense. That's a huge advantage and an opportunity.

Imagine a CEO uses AI to build an internal app for the sales team over the weekend. They bring to life an idea they've been carrying around for a long time, validate the process, and once it launches, it saves many colleagues a lot of work. But right after that, the vibe-coded app becomes a company tool that sales depends on every single day. And its author remains the only person who knows where the app runs, how it's deployed and why that one export has to be run twice.

Suddenly, on top of running the company, the CEO is also in charge of technical support.

Define Ownership and Responsibilities

As soon as someone uses the app to process orders, registrations or customer data, you need to know what happens when something goes wrong. Who takes action? Where do users report problems? How quickly can you respond? In the middle of an outage, the last thing you want to find out is that a critical company tool still runs on the personal account of whoever vibe-coded it back in the day.

In the discussion, Pavel Cinkeis also brought up app ownership, access and where the data ends up. His recommendation to write at least one page on responsibilities and handover before launch is, in my view, an excellent place to start.

Two Reminders That Operations Matter

In July 2025, a Replit agent deleted data from the database of Jason Lemkin's app. Replit confirmed the incident in its own statement. The database was fully restored using a rollback. The agent, however, didn't know this option existed, so it was no help in resolving the issue. Replit has since introduced automatic separation of development and production databases so that changes made during development don't touch live data.

For me, there's one practical takeaway: Having a way to recover isn't enough. Someone has to know how to use it.

That same month, researchers at Wiz uncovered a flaw in the Base44 platform that allowed unauthorized access to private apps. The vendor fixed it within 24 hours of the report and, according to its investigation, found no signs of prior exploitation. It was a platform bug, not something the app's author would have fixed in their own code.

These two real-world examples show why it pays to have backups, separate environments and a specific person or team who knows what to do.

My lesson? Operational care also means keeping track of your vendors, assessing the impact of their problems and communicating with them. Your own app often depends on their services.

Can't Another Agent Keep an Eye on It?

Human-written code isn't a guarantee of quality in itself. As Václav Bartoš rightly pointed out in the comments, automation can improve maintenance and reliability too. That's also why deploying another agent to check for and fix bugs is a tempting option.

Ondřej Štěpánek described his setup with Sentry, AutoGen and Codex: a captured error triggers analysis, a proposed fix and tests. The change only makes it to production once he approves it.

Petr Glaser, in turn, builds his apps on a shared foundation that handles permissions, security and operational visibility.

These are good directions, and ready-made tools already exist. For example, Sentry Seer can look for the root cause of an error, prepare code changes and open a proposed fix.

But you still need to decide who determines whether a fix is correct, who has permission to deploy it and who steps in when automation doesn't solve the problem. If all of these roles end with you, you've sped up part of the work with extra agents, but you haven't handed over on-call duty to anyone yet.

Every App Comes with Its Own Risks

There's a big difference between an app for planning holidays going down and a system for scheduling orders going down. For an app your team can't work without, contractually agreed support definitely makes sense:

• When support is available and how quickly it starts working on a problem. A weekday and a Saturday night are two different services.
• What counts as a critical error. Broken orders need a different priority than a misaligned icon.
• What we monitor and how issues get reported. Having a dashboard nobody looks at isn't enough.
• How we restore operations and data. How long an outage can the company handle, and how many of its latest changes can it afford to lose?
• What the care includes and what costs extra. Fixing a bug, building new features and changing an entire process are not the same request.

I Pay for Hosting. Why Do I Need Support?

Many authors of AI-generated apps believe they don't need support if their app was built on Lovable or runs on Vercel. But let's not forget that hosting only covers its own part of the operation. Your app has its own code, permissions, data and integrations with other services.

So a hosting contract doesn't automatically mean someone will fix a broken login in your own app. For example, Vercel's enterprise SLA defines the availability of its platform and lists outages caused by customer software among its exclusions.

A similar line is drawn by Lovable for its security certifications. They apply to the platform, but don't automatically carry over to the apps people build on it.

So what's the way out? Some needs will be covered by platform features, additional monitoring and automation. Care can be provided by your own tech team or an external partner. What matters is knowing who looks after the whole thing and where their responsibility ends.

We'll Take Over the App and the Responsibility

Being able to build an app doesn't automatically make you the best person to run it day to day. A capable author can stay with the product and hand over technical care to someone with the capacity, experience and backup to handle it.

Our team can pick up where you left off and take care of the technical challenges of running in production. That's exactly what we did with the conference app for FrontKon. Its organizer built the foundation of the app with AI and had a working prototype a week before the event.

At Superkoders, we took over the app five days before the event. We refined the UX and copy, added features and set up production infrastructure, load testing, backups, error reporting and monitoring. We also provided technical support during the conference, which welcomed 700 attendees. You can find the full story of the FrontKon app in our case study.

Be the Author, Not the Tech Support

As part of AI Powered Development, we help you validate ideas quickly and get existing AI apps into production. We follow that up with our AI App Support service, which guarantees long-term technical care for an app people already rely on.

First, we find out what state the app is in and what it needs for a handover. Then we set up monitoring, support and an SLA based on how important the app is to your business.

Vibe-code and validate ideas that would never have made it into development before. But once other people start depending on the result, give your app the care it deserves.

Do you already have an app that helps others but gives you a second job? Check out our AI App Support service and let's talk about your situation.