FlutterFlow is powerful. Without engineering knowledge behind it, these five mistakes are almost guaranteed — and each one is expensive to undo.
FlutterFlow is genuinely powerful. It's what we use to ship production apps on both the App Store and Google Play for real clients. But it rewards engineering thinking and punishes shortcuts. Here are the five mistakes we see most often — from founders building their own apps and from agencies that don't have a real development background.
This is the single most expensive mistake in no-code development. It looks like this: you open FlutterFlow, start designing your home screen, you're six weeks in with fifteen polished screens — and then you realize that a core feature requires a data structure you didn't build into Firestore, and rebuilding it means touching every query in the app.
The pattern is consistent across every project we've seen rebuilt from scratch: screens came first, data model came last, and at some point the data couldn't support the UI.
"We'll add the security rules later" is one of the most dangerous phrases in no-code development. Firebase's default rules in many tutorials allow any authenticated user to read any document in the database. That's fine for a local prototype. Shipping it to the App Store is not fine — every user can read every other user's data.
Security rules and row-level security are not features. They're infrastructure. They need to be in place before the first real user creates an account. We've seen this mistake result in user data exposure on apps with real users. It's not theoretical.
FlutterFlow handles roughly 85–90% of most apps natively. The remaining 10–15% — RevenueCat subscriptions, deep links, specific API integrations, debounced search, push notification handling — requires custom Dart code. The mistake isn't using custom actions. The mistake is not planning for them.
We've seen projects where critical features were assumed to be covered by FlutterFlow's built-in components, discovered late that they weren't, and there was no remaining budget or time for the custom code they required. The features either shipped broken or didn't ship at all.
The app is built. QA is done. You submit. Then Apple bounces it for a missing account-deletion flow. Or a privacy policy that doesn't cover all the data you collect. Or a deep-link entitlement you forgot to configure. Or screenshots at the wrong device dimensions. Each rejection means another review cycle — typically one to three additional days per bounce.
These aren't technical failures. They're preparation failures. And they happen almost universally to teams going through App Store review for the first time without a checklist.
This is the meta-mistake that makes all the others more likely. If someone's primary qualification is "I know FlutterFlow," the previous four mistakes on this list are probably coming. FlutterFlow is a tool. Engineering judgment is what makes a project succeed. Data modeling, security architecture, performance debugging, App Store expertise — these come from software engineering experience, not from knowing one tool.
When you're evaluating an agency or freelancer, ask them about their data modeling process, ask them to show you a custom action they've written, ask about an App Store rejection they've handled. The answers tell you whether you're talking to engineers or to tool users.
