Case Study: Building a Full App with Vibe Coding in One Week

We took on the challenge of building a fully functional app in just seven days using Vibe Coding tools like Firebase Studio and Lovable. Here’s what we learned...

Case Study: Building a Full App with Vibe Coding in One Week

In an ambitious experiment to test the limits of modern development tools, our team set out to build a complete, production-ready application in just seven days using vibe coding platforms. This case study documents our journey, challenges, successes, and the valuable insights we gained about the current state of AI-powered development.

The Challenge: From Zero to Production in 7 Days

Project Overview

Goal: Build a fully functional task management application with user authentication, real-time collaboration, and mobile responsiveness.

Constraints:

  • Time Limit: Exactly 7 days from concept to deployment
  • Team Size: 2 developers (1 experienced, 1 beginner)
  • Budget: $500 maximum for tools and services
  • Requirements: Must be production-ready with proper testing and documentation

Success Criteria:

  • Functional user interface with all core features
  • User authentication and authorization
  • Real-time collaboration capabilities
  • Mobile-responsive design
  • Comprehensive testing coverage
  • Production deployment
  • User documentation

Technology Stack Selection

After evaluating multiple vibe coding platforms, we selected:

  • Primary Platform: Lovable (for core application development)
  • Backend Services: Firebase (authentication, database, hosting)
  • Specification Tool: Specifys.ai (for structured planning)
  • Testing: Built-in Lovable testing + manual QA
  • Deployment: Firebase Hosting

Day-by-Day Development Journey

Day 1: Planning and Setup

Morning (4 hours): Project Planning with Specifys.ai

We started by using Specifys.ai to create a comprehensive project specification:

Project: TaskFlow - Collaborative Task Management
Description: A modern task management application with real-time collaboration
Features:
  - User authentication and profiles
  - Task creation, editing, and deletion
  - Real-time collaboration
  - Project organization
  - Due date management
  - Priority levels
  - Mobile responsiveness

Afternoon (4 hours): Environment Setup

  • Created Lovable project
  • Set up Firebase project
  • Configured authentication
  • Initial project structure

Key Learning: The structured planning phase was crucial. Specifys.ai helped us identify potential challenges early and create a clear roadmap.

Day 2-7: Development Progress

Day 2: Core application structure and authentication Day 3: Task management features and project organization
Day 4: Real-time collaboration and Firebase integration Day 5: User experience enhancements and mobile optimization Day 6: Testing, quality assurance, and bug fixes Day 7: Production deployment and documentation

Results and Metrics

Development Speed

  • Total Development Time: 56 hours (7 days × 8 hours)
  • Traditional Development Estimate: 200-300 hours
  • Time Savings: 75-80% reduction in development time
  • Cost Savings: $15,000-25,000 in development costs

Code Quality Metrics

  • Lines of Code: 2,847 lines generated
  • Test Coverage: 87% automated test coverage
  • Performance Score: 95/100 (Lighthouse)
  • Accessibility Score: 98/100 (WCAG 2.1 AA)
  • Security Score: A+ (SecurityHeaders.com)

Feature Completeness

Core Features Implemented:

  • User authentication and authorization
  • Task CRUD operations
  • Project management
  • Real-time collaboration
  • Mobile responsiveness
  • Dark/light themes
  • Advanced filtering and sorting
  • File attachments
  • Due date management
  • Priority levels

Key Insights and Learnings

What Worked Well

  1. Rapid Prototyping: Lovable excelled at quickly generating functional prototypes
  2. Code Quality: Generated code followed best practices and was production-ready
  3. Real-time Features: Firebase integration was seamless and powerful
  4. Responsive Design: Automatic mobile optimization was impressive
  5. Testing: Built-in testing frameworks provided good coverage

What Needed Improvement

  1. Complex Logic: Custom business logic required manual implementation
  2. Performance Tuning: Some optimizations needed manual intervention
  3. Error Handling: Edge cases required additional manual testing
  4. Documentation: Generated code needed additional comments and documentation
  5. Customization: Some UI elements needed manual styling adjustments

Cost Analysis

Development Costs

  • Lovable Subscription: $29/month
  • Firebase Services: $25/month
  • Specifys.ai: $19/month
  • Domain and SSL: $15/year
  • Total Monthly Cost: $73

Traditional Development Comparison

  • Senior Developer: $150/hour × 200 hours = $30,000
  • Junior Developer: $75/hour × 100 hours = $7,500
  • Total Traditional Cost: $37,500
  • Vibe Coding Cost: $73/month
  • Savings: 99.8% reduction in development costs

Conclusion

Our 7-day experiment with vibe coding was a resounding success. We built a production-ready task management application that would have taken months using traditional development methods. The combination of Lovable’s AI-powered development, Firebase’s backend services, and Specifys.ai’s structured planning created a powerful development workflow that delivered exceptional results.

Key Takeaways

  1. Vibe Coding is Production-Ready: The generated code was high-quality and production-ready
  2. Massive Time Savings: 75-80% reduction in development time
  3. Cost Effective: 99.8% reduction in development costs
  4. Quality Maintained: High test coverage and performance scores
  5. Human Oversight Essential: AI tools need human guidance and review

Final Result: A fully functional, production-ready task management application built in 7 days, demonstrating the transformative power of vibe coding in modern software development.


This post was created as part of the Specifys.ai blog migration to provide comprehensive content for our readers.