FlutterKit Ships a GetX Scaffold With 98% Test Coverage and AI-Ready Structure
A Flutter scaffold with 98% line coverage and explicit AI-assistance files removes the first two weeks of project setup — networking, pagination, database, and navigation wiring — while giving AI coding tools enough structural context to generate features that respect the architecture rather than bypass it.
FlutterKit packages a full Flutter application skeleton around GetX, Dio, Retrofit, sqflite, and TDesign Flutter. It ships with seven core capability modules — network requests, paginated lists, state management, navigation, screen adaptation, local database, and lightweight storage — each backed by runnable demo pages and documented online. The architecture enforces a strict dependency direction: Feature modules depend on Core through Repository interfaces, never directly on network or database layers, and Core never references Feature code.
Every Core and Demo module carries unit tests with line coverage no lower than 98% and branch coverage no lower than 95%. The project also includes a project-level AGENTS.md and specialized Skills for UI, data, navigation, theming, and previews, explicitly designed so AI coding assistants can operate within the framework's architectural boundaries.
Screen adaptation handles phones, foldables, tablets, and landscape/portrait switching through four responsive breakpoints (XS, SM, MD, LG) plus flutter_screenutil. Dark mode, Chinese/English internationalization, and persistent user preferences are built in from the start.
Shipping a scaffold with 98% line coverage is unusual for open-source Flutter projects and sets a higher baseline than most commercial app templates.
The explicit AGENTS.md and Skill files signal a shift in how scaffolds are designed: they now target AI tooling as a first-class consumer, not just human developers.
Enforcing that Feature modules never import network or database code directly — only through Repository — is a discipline many Flutter projects claim but few enforce structurally; here it's baked into the module layout.
The core tension is around state management: one comment suggests dropping GetX, the author responds by considering a survey and a separate branch, and another voice recommends signals. A longer comment praises the scaffold's completeness and suggests reserving a monitoring/analytics initialization point, which the author addresses by explaining that bootstrap already serves that purpose and a dedicated skill could be written if needed.
Awesome work. Would be even better if you swapped out Get.
I've been thinking about doing a survey to see what state management solutions people are using. A future version could branch off a separate state management framework for support.
signals is pretty good.
This scaffold is very comprehensive. The GetX + TDesign combo works right out of the box, saving a lot of early-stage setup hassle. When I did Flutter projects before, I also dreaded starting from a scaffold — networking layer, routing, local storage, each one had to be wrapped by hand. One small suggestion: if the scaffold aims to be 'universal,' consider reserving an initialization spot for monitoring/analytics. In our earlier project, we didn't integrate crash monitoring at first, and after launch, user-reported crashes could only be guessed at. Later we added U-APM, which connected stack traces with user action paths, and the troubleshooting efficiency became completely different. Of course, this is just personal experience, not necessarily suitable for every project, just for reference. Overall completeness is high, looking forward to future updates!
Actually, bootstrap is meant for initializing all kinds of parameters, whether it's analytics or performance monitoring, for Umeng or other platforms. I didn't include it here; it still depends on project needs. If there's demand, I can write a skill to achieve rapid integration.