# How to Use This Implementation Plan with AI Coding Assistants

1. **Save this plan** as a markdown (.md) file in your project directory
2. **Open the file** in your preferred code editor with Cursor or Windsurf AI assistant
3. **Copy and paste** the following prompt to your AI assistant:

   "I want to implement this project following the implementation plan in this file. Let's start with the first unchecked item. For each step: 1) Ask me any clarifying questions if something is unclear before proceeding, 2) Explain what needs to be done, 3) Write the necessary code, 4) Check the box when complete (change `- [ ]` to `- [x]`), then 5) Move to the next unchecked item. After completing logical groups of steps, commit the changes with a descriptive message. Let's begin with step #1."

4. **Track your progress** by checking off completed items as you go
5. **Commit regularly** after logical groups of steps are completed

---

# Implementation Plan for VibeCheck

## High-Level Architecture Overview

VibeCheck's architecture consists of a React frontend and React Native mobile application, along with a Node.js backend. The backend communicates with PostgreSQL for data storage and integrates with third-party music APIs (Spotify and Apple Music). User interactions are tracked and logged for analytics purposes. The application will be hosted on AWS infrastructure.

## Phase 1: Project Setup

- [ ] 1. Create a new Git repository for the VibeCheck project
- [ ] 2. Initialize the project with npm init and create a package.json with basic metadata
- [ ] 3. Create a .gitignore file with appropriate entries for Node.js and React
- [ ] 4. Create README.md with project description and setup instructions
- [ ] 5. Create a src/ directory for the frontend source code
- [ ] 6. Create a server/ directory for the backend source code
- [ ] 7. Create a tests/ directory for test files
- [ ] 8. Install frontend dependencies: npm install react react-dom react-scripts
- [ ] 9. Install backend dependencies: npm install express body-parser cors dotenv pg bcrypt jsonwebtoken
- [ ] 10. Create client/src/index.js as the application entry point
- [ ] 11. Create a basic Express server in server/index.js
- [ ] 12. Set up PostgreSQL database connection in server/db.js
- [ ] 13. Implement basic Sequelize models for User and Mood in server/models
- [ ] 14. Write a unit test to verify project setup by checking package.json dependencies

## Phase 2: User Authentication Feature

- [ ] 15. Create user registration endpoint in server/routes/auth.js
- [ ] 16. Implement password hashing using bcrypt in the registration route
- [ ] 17. Create user login endpoint in server/routes/auth.js
- [ ] 18. Implement JWT generation and verification for securing routes
- [ ] 19. Write unit tests for user registration and login endpoints
- [ ] 20. Create src/components/auth/ directory for authentication components
- [ ] 21. Create src/components/auth/LoginForm.js component
- [ ] 22. Add email input field to LoginForm component
- [ ] 23. Add password input field to LoginForm component
- [ ] 24. Add submit button to LoginForm component
- [ ] 25. Add form validation for email and password fields in LoginForm
- [ ] 26. Write unit tests for email and password validation in LoginForm
- [ ] 27. Create src/components/auth/RegisterForm.js component
- [ ] 28. Add email input field to RegisterForm component
- [ ] 29. Add password input field to RegisterForm component
- [ ] 30. Add confirm password input field to RegisterForm component
- [ ] 31. Add submit button to RegisterForm component
- [ ] 32. Add form validation to RegisterForm for email, password, and confirm password fields
- [ ] 33. Write unit tests for RegisterForm component validation
- [ ] 34. Connect LoginForm and RegisterForm to the corresponding backend API endpoints

## Phase 3: Mood Sharing Feature

- [ ] 35. Create mood sharing endpoint in server/routes/moods.js
- [ ] 36. Set up mood model in server/models/Mood.js
- [ ] 37. Implement authorization middleware for mood sharing endpoints
- [ ] 38. Write unit tests for mood sharing endpoint
- [ ] 39. Create src/components/mood/ directory for mood components
- [ ] 40. Create MoodShareForm.js component for sharing mood and music
- [ ] 41. Implement mood selection using emojis in MoodShareForm
- [ ] 42. Implement music selection using integrated music APIs in MoodShareForm
- [ ] 43. Add submit button to MoodShareForm component
- [ ] 44. Add loading state during mood upload in MoodShareForm
- [ ] 45. Write unit tests for MoodShareForm inputs and submission
- [ ] 46. Create community feed component to display shared moods in src/components/community/CommunityFeed.js
- [ ] 47. Implement data fetching from the backend to display shared moods
- [ ] 48. Write unit tests for CommunityFeed data fetching

## Phase 4: Community Feed Feature

- [ ] 49. Implement user profile route in server/routes/users.js
- [ ] 50. Create user profile model in server/models/Profile.js
- [ ] 51. Allow users to view their mood history through the user profile
- [ ] 52. Write unit tests for user profile retrieval endpoint
- [ ] 53. Enhance CommunityFeed with mood interaction features (reacting, commenting)
- [ ] 54. Create src/components/community/MoodPost.js for individual mood display
- [ ] 55. Implement reactions functionality in MoodPost (like, comment)
- [ ] 56. Write unit tests for MoodPost user interaction
- [ ] 57. Set up a notification system for user engagement on the backend
- [ ] 58. Create a notifications component to display user interactions

## Phase 5: Advanced Features

- [ ] 59. Implement Night Mode feature in the app, allowing users to share moods more casually
- [ ] 60. Conduct alpha testing with selected users to gather feedback
- [ ] 61. Analyze user feedback and prioritize features for future implementation
- [ ] 62. Prepare for marketing and user acquisition strategies
- [ ] 63. Plan the MVP launch with a detailed timeline

## Phase 6: Testing & Deployment

- [ ] 64. Write end-to-end tests for the entire user journey using Cypress
- [ ] 65. Set up CI/CD pipeline with GitHub Actions for automated testing and deployment
- [ ] 66. Configure AWS setup for hosting the application (EC2, RDS)
- [ ] 67. Deploy the backend to AWS and configure the PostgreSQL database
- [ ] 68. Deploy the frontend to AWS S3 with CloudFront for CDN
- [ ] 69. Monitor application performance and user engagement
- [ ] 70. Conduct a post-launch review to assess success metrics and user feedback

This implementation plan outlines the steps necessary to develop VibeCheck, ensuring a structured approach to feature development and testing while paving the way for future enhancements. Each step is broken down into atomic tasks to facilitate implementation by coding assistants.