FlutterFlow exports drifted from production builds, and Glide row limits blocked their next pricing tier.
What they were actually dealing with.
An EdTech company serving 200,000 learners across four products in Africa and the UK had built on FlutterFlow for the app layer and Glide for parts of the data layer. Both platforms had gotten them to real scale across two continents. Both had also started working against them in different ways.
FlutterFlow's exported code was drifting from what was actually running in production, meaning the visual editor and the live app were no longer reliably the same thing. Separately, Glide's row limits were blocking the company's next pricing tier outright, not slowing it down, blocking it.
The decisions that actually mattered.
Not a task list. The four calls that determined whether this worked.
Migrated to hand-written Flutter, not another FlutterFlow export
The drift problem wasn't a bug to patch, it was structural to how FlutterFlow's export pipeline works. The fix was owning the Flutter codebase directly, so what's in the repository and what's running are permanently the same thing.
Firebase kept where it was already the right tool
Firebase wasn't the source of the problems and was already well suited to this product's real-time and auth needs. The migration replaced what was broken, FlutterFlow's export layer and Glide's row-limited data model, without discarding infrastructure that worked.
Cloud Run for the workloads Firebase Functions couldn't scale
The data processing that had hit Glide's ceiling moved to Cloud Run, chosen specifically for the workloads that needed more compute flexibility than a functions-as-a-service model provides.
One codebase across iOS, Android, and web
Consolidating onto a single Flutter codebase was as much a velocity decision as a technical one: three release trains across platforms became one, which is what let release frequency triple afterwards.
Is this outcome remarkable or ordinary?
For calibration: maintaining separate codebases across iOS, Android, and web commonly multiplies both bug surface area and release coordination overhead relative to a single shared codebase. A 3x increase in release frequency after consolidation is consistent with removing that multiplication rather than simply working faster.
Source: General cross-platform mobile development research on multi-codebase overhead
“We kept the velocity we loved about no-code, and got the predictability we needed for investors.”
If you're in the same position.
A visual builder's export pipeline can drift from production in ways that are invisible until a release breaks for a reason nobody can find in the visual editor. If your team is debugging code they didn't write and can't fully see, that's usually the moment to own the codebase directly.
You shipped fast on no-code.
Now ship faster, on code.
30-minute scoping call · pixel-faithful migration plan · fixed-price quote within 48 hours. No NDA gymnastics.