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.