Skip months of setup and development. Get a complete Flutter & Firebase architected app, with a professional design pattern, powered to production by AI.
We offer significant savings in time and cost, allowing you to test your MVP with minimal risk.
- 4-week delivery
- Production-ready code
- Complete ownership
- Future-proof architecture
- Limited functionality
- No code ownership
- Scalability issues
- Platform lock-in
- 3-6 months development
- £150,000+ cost
- Variable code quality
- Complex handover
What's involved in those 4 weeks?
- Project scoping
- Architecture decisions
- Firebase setup
- Base MVVM implementation
- Authentication flows
- Database structure
- Core functionality
- Basic UI implementation
- Security rules
- API integration
- Error handling
- Analytics setup
- Quality assurance
- Performance testing
- Documentation
- Code handover
Get started with a technical consultation
Production-ready features, automatically implemented
// Repository Structure
project/
├── lib/
│ ├── enums/
│ ├── models/
│ ├── services/
│ ├── ui/
│ │ ├── app/
│ │ ├── common/
│ │ └── views/
│ │ └── auth/
│ │ └── home/
│ ├── utils/
│ └── main.dart- MVVM Pattern
- Fully responsive
- Clean Architecture
- Modular Design
// Example of testing approach
class AuthServiceTest extends TestBed {
late AuthService authService;
setUp(() {
authService = MockAuthService();
});
test('should authenticate user', () async {
// Given
final credentials = UserCredentials();
// When
final result =
await authService.login(credentials);
// Then
expect(result.isSuccess, true);
});
}- Error Handling
- Analytics
- Crashlytics
- Test Suites
// Example Firebase Security Rules
rules_version = '2';
service cloud.firestore {
match /databases/{database}/documents {
match /{document=**} {
allow read: if isAuthenticated();
allow write: if isAuthorized();
}
function isAuthenticated() {
return request.auth != null;
}
function isAuthorized() {
return isAuthenticated() &&
hasRole('admin');
}
}
}- Authentication
- Firestore & Rules
- Cloud Functions
- Storage & Rules
// Feature Implementation
class FeatureViewModel extends BaseViewModel {
// AI determines optimal implementation
final _service = locator<FeatureService>();
Future<void> executeFeature() async {
setBusy(true);
try {
// AI-optimized implementation
final result = await _service.process();
// AI-generated error handling
} finally {
setBusy(false);
}
}
}- Multi-language Support
- Theme System
- Remote Config
- Push Notifications
After the 4-week development period, you receive:
1. Complete Source Code
- Production-ready Flutter codebase
- Firebase configurations and security rules
- Testing suites and documentation
2. Access & Credentials
- GitHub repository ownership
- Firebase Console access
- Development environment setup
3. Knowledge Transfer
- Technical walkthrough session
- Deployment guide
- 2 weeks of technical support
Everything is thoroughly documented, ensuring your team can maintain and extend the codebase.
Absolutely! We structure everything for seamless continuation:
1. Clean Architecture
- MVVM pattern for clear separation
- Modular code structure
- Documented development patterns
2. Documentation
- Inline code comments
- Technical documentation
- Development guidelines
3. Development Environment
- Complete setup instructions
- Testing framework
- CI/CD configuration
Whether adding features or scaling, you'll have everything needed to continue development effectively.
You receive a complete, production-ready Firebase implementation:
1. Core Features
- Authentication & security rules
- Database structure
- Cloud Functions setup
- Storage configuration
2. Additional Services
- Push notifications
- Real-time updates
- Analytics integration
- Performance monitoring
Everything is optimised for scalability and comes with detailed documentation.
Our AI-powered process maintains high quality through:
1. Automated Checks
- Static code analysis
- Performance profiling
- Security scanning
2. Testing
- Unit tests
- Integration tests
- UI testing suite
3. Quality Metrics
- Minimum 90% test coverage
- Code complexity monitoring
- Performance benchmarks
Each feature passes through rigorous automated and human review.
Our process combines AI efficiency with human expertise:
1. Development Flow
- AI analyzes requirements
- Generates optimized code
- Implements best practices
- Ensures consistent quality
2. Human Oversight
- Architecture review
- Code quality validation
- Security assessment
- Final approval
This hybrid approach delivers production-ready code in 4 weeks instead of 4-6 months.