Why AI Code Feels Messy
If you have used AI tools to generate Flutter code, you probably noticed the pattern. One time you get BLoC, the next time Riverpod. Sometimes the folder structure makes no sense. Error handling is missing. State management feels like an afterthought.
At first glance the code compiles, but once you integrate it into a real project the cracks show up. It feels unreliable and it takes more time to clean up than it would to just write it yourself.
The Missing Piece: Blueprints
The real issue is not that AI cannot write code. It is that it does not follow the coding standards that we rely on as developers. The fix is to guide AI with blueprints — frameworks that define architecture, state management, error handling, testing, and structure up front.
We put together tried and tested blueprints for the most common Flutter setups:
- BLoC Blueprint uses Clean Architecture, strict layering, deterministic state transitions
"architecture_used":"The project implements Clean Architecture with strict separation of concerns across Presentation (UI and BLoCs), Domain (business logic and use cases), and Data (repositories and data sources) layers. Each feature lives under 'features/<feature>' with clear subdirectories for 'data', 'domain', and 'presentation'. Dependencies point inward; the domain layer is framework-agnostic. Interfaces are abstracted and implementations injected to preserve testability and isolation of business rules.",
"state_management":"State is managed via flutter_bloc, enforcing unidirectional data flow. BLoCs expose immutable state classes and respond to explicit events. UI layers consume state reactively through BlocBuilder/BlocListener. Side effects are localized in BLoCs/use cases; presentation layers do not contain business logic. All transitions are deterministic and testable.",
"code_structure":"The code must follow below structure: lib/
main.dart
app.dart
config/ # App configuration & dependency injection
di/
flavor/
core/ # Shared, cross-cutting concerns
constants/ # Strings, colors, dimensions, durations
error/ # Base failures, mappers
result/ # Result/Either helpers (optional)
routing/ # Routes & navigation
theme/ # Themes, typography
utils/ # Responsive, validators, formatters
shared/ # Reusable UI & helpers
widgets/
mixins/
features/ # Feature-driven, Clean Architecture layers
<feature>/
domain/ # Entities, value objects, use cases, repo interfaces, failures
data/ # Models, mappers, repository implementations
presentation/ # UI (pages, widgets) + BLoC (event, state, bloc)",
"app_constants":"No magic numbers/strings in widgets or logic. All constants (UI dimensions, durations, error codes, collection names, endpoints, feature toggles) are centralized. Environment-specific behavior (dev/stage/prod) is managed via FlavorConfig; overrides are controlled, not scattered. Typed accessors prevent accidental misuse.",
"adaptive_responsive_design":"All the widgets must be fully responsive and must support each and must adapt according to every device screen",
"error_handling":"Errors are normalized into domain-specific exception types. Repositories map infrastructure errors to domain-level errors. BLoCs expose error states; UI shows localized, user-friendly messages with retry options. Network clients have centralized interceptors handling retries, timeouts, auth refresh, and tagging. Errors carry contextual metadata for observability; production reporting omits sensitive data.",
"localization":"Localization is not required in the code","memory_optimization":"Resources are cleaned up deterministically. BLoCs cancel streams in close(), media/WebRTC objects are disposed per lifecycle, and heavy assets are lazy-loaded with caching. Widgets observe minimal slices of state to avoid unnecessary rebuilds. Leak detection runs in development, and critical paths are profiled.",
"libraries_frameworks":"Primary state management is flutter_bloc. Third-party libraries must not introduce conflicting paradigms. DI is explicit (constructor or provider), keeping testability and inversion intact.",
"overall_coding_habits":"Code follows SOLID principles, idiomatic naming, small focused units, and explicit dependencies. Automated linting (including custom rules to catch forbidden patterns like ad-hoc scaling or duplicate responsive helpers), unit/integration tests (bloc_test, mockito), and CI gates enforce quality. Architectural decisions are documented (ADRs). Logging is structured and enriched in dev with consistent telemetry in production."
"api integration":"API calls use the http package, organized into feature-specific data sources (e.g., GithubRemoteDataSourceImpl) that implement small abstract interfaces, enforcing Interface Segregation. Data sources handle raw HTTP with async/await and throw custom exceptions.\n\nRepositories wrap these sources, map DTOs into domain entities, and expose clean results to Bloc. Dependency Injection ensures repositories are injected into Blocs, maintaining Single Responsibility and Dependency Inversion.\n\nJSON is deserialized into explicit DTOs (e.g., GithubProjectSearchResponseDto) and mapped to domain models, keeping API contracts isolated. This structure supports Open/Closed, testability (mockable http.Client), and clear separation of data, domain, and presentation layers."
- GetX Blueprint follows MVVM with reactive controllers and centralized error handling
"architecture_used":"The project implements a modular architecture following MVVM principles with GetX as the exclusive state management solution. Each feature module (e.g., 'home', 'language') is organized into: models (data layer), controllers (ViewModels), views (UI screens), and widgets (reusable components). Views are strictly passive, relying only on controllers for state and logic. Models encapsulate domain data. This ensures separation of concerns, scalability, testability, and maintainability.",
"state_management":"GetX is used exclusively for state management. All state resides in controllers (ViewModels), implemented as GetxControllers. Controllers expose observable Rx variables, methods, and lifecycle hooks (onInit, onClose). Views consume state reactively via Obx, GetX, or GetBuilder. StateMixin may be used for handling loading/success/error states. Dependency injection is managed with Get.put(), Get.lazyPut(), or Get.find(). StatefulWidgets are prohibited.",
"code_structure":"Code should follow this structure:
lib/
main.dart
app.dart
core/ # Shared app-wide code
bindings/ # Global DI
constants/ # Strings, colors, images, dimensions
error/ # Exceptions, error mapper
routing/ # Routes & pages
theme/ # Light/dark themes
utils/ # Responsive, formatters, validators
services/ # APIs, storage, cache
shared/ # Reusable widgets & mixins
widgets/
mixins/
modules/ # Feature-driven (MVVM)
<feature>/
bindings/
controllers/
models/
views/
widgets/",
"app_constants":"All fixed values must be centralized: 'AppStrings' for static text, 'AppImages' for assets, 'AppColors' for theming, 'AppDurations' for timeouts/animations, and 'AppDimensions' for spacing, radius, and font sizes. No magic numbers or strings are permitted in widgets or controllers. This guarantees consistency, maintainability, and type-safe access across the application.",
"adaptive_responsive_design":"All the widgets must be fully responsive and must support each and must adapt according to every device screen","error_handling":"Error handling is centralized with custom exception classes, error mapping utilities, and consistent user-facing messages. Controllers expose error states reactively, and Views respond by showing fallbacks or retry UIs. Logging utilities capture errors for debugging and analytics.",
"localization":"Localization is not required in the code",
"memory_optimization":"Controllers must release resources in onClose(). Const constructors are used wherever possible. Widgets only observe the Rx variables they depend on. Expensive images and assets are cached. Heavy computations are moved off the main isolate when feasible.",
"libraries_frameworks":"The project uses Flutter with GetX for state management, DI, and navigation. No other state management libraries are allowed. UI packages (animations, charts, etc.) must be pre-approved for maintainability.",
"overall_coding_habits":"The codebase follows clean code principles: consistent naming, modular design, documentation, linting, unit/widget testing, and CI/CD pipelines. All UI widgets remain StatelessWidgets driven by controllers. No raw numbers, strings, or duplicated extensions are allowed in production code. Extensions, constants, and responsive utilities must be uniquely named and documented to prevent ambiguity. This ensures long-term adaptability without regressions.
"api integration":"API calls use the http package, organized into feature-specific data sources (e.g., GithubRemoteDataSourceImpl) that implement lean abstract interfaces (e.g., IGithubRemoteDataSource). This enforces Interface Segregation and keeps modules dependent only on what they use.\\r\\n\\r\\nData sources handle raw HTTP with async\/await and throw custom exceptions. Repositories wrap these sources, map DTOs to domain entities, and expose clean results. Controllers access repositories via GetX dependency injection, ensuring Single Responsibility and Dependency Inversion.\\r\\n\\r\\nJSON responses are deserialized into explicit DTOs (e.g., GithubProjectSearchResponseDto), keeping domain logic decoupled from API contracts. This structure supports Open\/Closed, testability (mockable http.Client), and clear separation of concerns across data, domain, and presentation layers."
- Provider Blueprint applies MVC with SOLID principles, dependency injection, and explicit error mapping
"architecture_used":"The project follows a modular MVC (Model-View-Controller) architecture with strict separation of concerns and SOLID alignment. Each feature (e.g., 'home_screen', 'language_screen') is organized into 'models', 'views', and 'controllers'. Controllers are thin: they orchestrate domain logic exposed by small service/repository interfaces (abstractions) rather than performing IO directly. Concrete implementations (HTTP/local) live alongside the feature or in a shared data area and are injected via Provider. Models are immutable where possible, favoring value equality to support encapsulation and testability.",
"state_management":"State is managed using the Provider package. Each controller extends ChangeNotifier but depends on abstractions (e.g., AuthRepository) injected via Provider for Dependency Inversion. Views consume controllers with Consumer/Selector and rebuild on notifyListeners. Business actions in controllers delegate to services/use-case-style methods on repositories/services, keeping controllers SRP-compliant. Example binding: final authRepoProvider = Provider<AuthRepository>((_) => HttpAuthRepository(httpClient)); final languageControllerProvider = ChangeNotifierProvider((ref) => LanguageController(ref.read(authRepoProvider)));",
"code_structure":"The code must follow the below structure:
lib/
main.dart
app.dart
core/ # Shared app-wide code
constants/ # Strings, images, colors, dimensions
error/ # Failure classes, error mapping
utils/ # Responsive helpers, formatters, validators
shared/ # Reusable UI & helpers
widgets/ # Common UI components
mixins/ # Shared mixins if needed
features/ # Modular, feature-driven (MVC)
<feature>/ # e.g., home_screen, language_screen
models/ # Immutable models, value objects
controllers/ # ChangeNotifier controllers (thin, SRP)
views/ # UI (Widgets, Screens), consume controllers
domain/ # Interfaces (repos/services abstractions)
data/ # Concrete implementations (http/local) + mappers",
"app_constants":"Static constants (strings, image paths, colors) live in 'constants' (e.g., 'AppStrings', 'ImageAssets'). No magic strings in controllers or views. Controllers/services accept policies or configuration via constructor params if variation is needed, avoiding hardcoded values and improving testability.",
"adaptive_responsive_design":"All the widgets must be fully responsive and must support each and must adapt according to every device screen",
"error_handling":"Controllers catch infrastructure errors from services/repositories and convert them into domain-focused failure results (e.g., AuthFailure, NetworkFailure) rather than surfacing raw exceptions. Views map these failures to UX (snackbars/dialogs). Use typed results (e.g., Result/Either pattern) or AsyncValue-like wrappers to make error and loading states explicit and testable.",
"localization":"Localization is not required in the code",
"memory_optimization":"Use const widgets and immutable models. Dispose of streams/timers in controllers. Provider disposes ChangeNotifiers automatically when their providers leave scope. Prefer lightweight controllers that delegate to services to minimize retained state and rebuild cost.",
"libraries_frameworks":"Flutter for UI, Provider for state and DI, Material widgets.",
"overall_coding_habits":"Adhere to SOLID: (S) controllers/services have one responsibility; (O) extend via new implementations/use-cases without modifying clients; (L) depend on interfaces so mocks/fakes/alt implementations can substitute; (I) keep interfaces small and cohesive (split read/write if needed); (D) controllers depend on abstractions, not concretes, with Provider wiring. Maintain meaningful naming, small files, consistent formatting/lints, comprehensive unit/widget tests with Provider overrides, and keep views free of business logic.",
"api integration":"API calls use the http package, with feature-specific data sources (e.g., GithubRemoteDataSourceImpl) that implement slim abstract interfaces, enforcing Interface Segregation. Data sources handle raw HTTP with async/await and throw custom exceptions.\n\nRepositories wrap these sources, map DTOs into domain entities, and expose clean results. With Provider, repositories are injected into widgets via ChangeNotifier or other providers, ensuring Dependency Inversion and a clear separation between UI and data.\n\nJSON responses are deserialized into explicit DTOs (e.g., GithubProjectSearchResponseDto) and mapped into domain models, keeping API contracts decoupled. This structure supports Open/Closed, testability (mockable http.Client and providers), and a clean split between data, domain, and presentation layers."
- Riverpod Blueprint uses MVVM with immutable state, testable providers, and clean abstractions
"architecture_used":"The project follows a modular MVC (Model-View-Controller) architecture with strict separation of concerns and SOLID alignment. Each feature (e.g., 'home_screen', 'language_screen') is organized into 'models', 'views', and 'controllers'. Controllers are thin: they orchestrate domain logic exposed by small service/repository interfaces (abstractions) rather than performing IO directly. Concrete implementations (HTTP/local) live alongside the feature or in a shared data area and are injected via Provider. Models are immutable where possible, favoring value equality to support encapsulation and testability.",
"state_management":"State is managed using the Provider package. Each controller extends ChangeNotifier but depends on abstractions (e.g., AuthRepository) injected via Provider for Dependency Inversion. Views consume controllers with Consumer/Selector and rebuild on notifyListeners. Business actions in controllers delegate to services/use-case-style methods on repositories/services, keeping controllers SRP-compliant. Example binding: final authRepoProvider = Provider<AuthRepository>((_) => HttpAuthRepository(httpClient)); final languageControllerProvider = ChangeNotifierProvider((ref) => LanguageController(ref.read(authRepoProvider)));",
"code_structure":"The code must follow the below structure:
lib/
main.dart
app.dart
core/ # Shared app-wide code
constants/ # Strings, images, colors, dimensions
error/ # Failure classes, error mapping
utils/ # Responsive helpers, formatters, validators
shared/ # Reusable UI & helpers
widgets/ # Common UI components
mixins/ # Shared mixins if needed
features/ # Modular, feature-driven (MVC)
<feature>/ # e.g., home_screen, language_screen
models/ # Immutable models, value objects
controllers/ # ChangeNotifier controllers (thin, SRP)
views/ # UI (Widgets, Screens), consume controllers
domain/ # Interfaces (repos/services abstractions)
data/ # Concrete implementations (http/local) + mappers",
"app_constants":"Static constants (strings, image paths, colors) live in 'constants' (e.g., 'AppStrings', 'ImageAssets'). No magic strings in controllers or views. Controllers/services accept policies or configuration via constructor params if variation is needed, avoiding hardcoded values and improving testability.",
"adaptive_responsive_design":"All the widgets must be fully responsive and must support each and must adapt according to every device screen",
"error_handling":"Controllers catch infrastructure errors from services/repositories and convert them into domain-focused failure results (e.g., AuthFailure, NetworkFailure) rather than surfacing raw exceptions. Views map these failures to UX (snackbars/dialogs). Use typed results (e.g., Result/Either pattern) or AsyncValue-like wrappers to make error and loading states explicit and testable.",
"localization":"Localization is not required in the code",
"memory_optimization":"Use const widgets and immutable models. Dispose of streams/timers in controllers. Provider disposes ChangeNotifiers automatically when their providers leave scope. Prefer lightweight controllers that delegate to services to minimize retained state and rebuild cost.",
"libraries_frameworks":"Flutter for UI, Provider for state and DI, Material widgets.",
"overall_coding_habits":"Adhere to SOLID: (S) controllers/services have one responsibility; (O) extend via new implementations/use-cases without modifying clients; (L) depend on interfaces so mocks/fakes/alt implementations can substitute; (I) keep interfaces small and cohesive (split read/write if needed); (D) controllers depend on abstractions, not concretes, with Provider wiring. Maintain meaningful naming, small files, consistent formatting/lints, comprehensive unit/widget tests with Provider overrides, and keep views free of business logic.",
"api integration":"API calls use the http package, with feature-specific data sources (e.g., GithubRemoteDataSourceImpl) that implement slim abstract interfaces, enforcing Interface Segregation. Data sources handle raw HTTP with async/await and throw custom exceptions.\n\nRepositories wrap these sources, map DTOs into domain entities, and expose clean results. With Provider, repositories are injected into widgets via ChangeNotifier or other providers, ensuring Dependency Inversion and a clear separation between UI and data.\n\nJSON responses are deserialized into explicit DTOs (e.g., GithubProjectSearchResponseDto) and mapped into domain models, keeping API contracts decoupled. This structure supports Open/Closed, testability (mockable http.Client and providers), and a clean split between data, domain, and presentation layers."
Each blueprint defines how the project should be structured, how state flows, how errors are surfaced, and how APIs are integrated. If you bring these standards into your prompts, the AI output suddenly becomes much more reliable.
How HuTouch Makes It Easier
Writing long prompts for every new screen is possible, but it gets tiring fast. That is where HuTouch comes in. Instead of manually reminding AI about folder structures or error handling every single time, you just pick a blueprint.
HuTouch applies the full set of coding standards automatically. Architecture, state management, error handling, constants, and testing are baked in. The result is not random AI code but production ready Flutter projects that you can extend and ship.
In early testing developers saved > 40% effort on their first project setup because they did not have to rewire state or clean up architecture, but were able to re-use tried & tested community driven Blueprints.
Give It a Try
If you want to stop rinse and repeat prompting and start generating reliable Flutter code, here is what you can do:
- Join HuTouch Beta → Only this month you get 1 week free trial and $30 for 3 months to generate unlimited production ready code
- Join our Discord Server → Suggest your own blueprint and showcase your coding DNA
Sign-up now to get on the list!!!
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