# 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 Macrohard

## Overview
The Macrohard project focuses on developing a cutting-edge platform that aims to facilitate technology integration for enterprise clients, with a strong emphasis on regulatory compliance management. The implementation will leverage technologies such as Blazor for the frontend, Go for the backend, and PostgreSQL for the database.

## Phase 1: Project Setup

- [ ] 1. Create a new Git repository for the Macrohard project
- [ ] 2. Initialize the project with npm init and create package.json with basic metadata
- [ ] 3. Create .gitignore file with appropriate entries for the tech stack
- [ ] 4. Create README.md with project description and setup instructions
- [ ] 5. Create a src/ directory for source code
- [ ] 6. Create a tests/ directory for test files
- [ ] 7. Set up the frontend using Blazor in a new directory: src/Frontend/
- [ ] 8. Set up the backend using Go in a new directory: src/Backend/
- [ ] 9. Install PostgreSQL on the local environment or setup a cloud instance for the database
- [ ] 10. Create a Dockerfile for the Go backend
- [ ] 11. Create a docker-compose.yml file to define services for the app (frontend, backend, database)
- [ ] 12. Write initial documentation for local development
- [ ] 13. Set up CI/CD pipeline configuration in .github/workflows/ci.yml
- [ ] 14. Write a unit test to verify project initialization is correct

## Phase 2: User Management System

### User Authentication Feature

- [ ] 15. Create src/Frontend/Components/Auth/ directory for authentication components
- [ ] 16. Create src/Frontend/Components/Auth/LoginForm.razor component with form skeleton
- [ ] 17. Add email input field to LoginForm component
- [ ] 18. Add password input field to LoginForm component
- [ ] 19. Add submit button to LoginForm component
- [ ] 20. Implement basic form validation for email field
- [ ] 21. Implement basic form validation for password field
- [ ] 22. Write unit tests for email validation functionality
- [ ] 23. Write unit tests for password validation functionality
- [ ] 24. Create src/Backend/UserService.go to handle user authentication logic
- [ ] 25. Implement create user function in UserService
- [ ] 26. Write unit tests for create user function
- [ ] 27. Create a database migration script for user table
- [ ] 28. Implement the user login API endpoint in Go
- [ ] 29. Write unit tests for user login API endpoint
- [ ] 30. Connect LoginForm submit handler to the authentication API
- [ ] 31. Add loading state to LoginForm during submission
- [ ] 32. Show error message for failed login attempts
- [ ] 33. Write integration tests for the full login flow

## Phase 3: Regulatory Compliance Dashboard

- [ ] 34. Create src/Frontend/Components/Compliance/ directory for compliance components
- [ ] 35. Create src/Frontend/Components/Compliance/ComplianceDashboard.razor component
- [ ] 36. Design layout of ComplianceDashboard with metrics summary and detail sections
- [ ] 37. Create a mock data service to fetch compliance data for initial UI testing
- [ ] 38. Display summary metrics in ComplianceDashboard
- [ ] 39. Implement detailed compliance report retrieval in service
- [ ] 40. Write unit tests for the compliance data service
- [ ] 41. Set up database schema for compliance metrics
- [ ] 42. Implement API endpoint in Go to serve compliance data
- [ ] 43. Connect ComplianceDashboard to backend API
- [ ] 44. Write integration tests for ComplianceDashboard data handling

## Phase 4: Integration API

- [ ] 45. Create src/Backend/IntegrationAPI.go to handle integration requests
- [ ] 46. Implement POST method to submit integration requests
- [ ] 47. Write unit tests for integration request submission
- [ ] 48. Build integration status retrieval API endpoint
- [ ] 49. Write unit tests for integration status retrieval
- [ ] 50. Create src/Frontend/Components/Integration/IntegrationForm.razor component
- [ ] 51. Add inputs for integration details in IntegrationForm
- [ ] 52. Connect IntegrationForm to Integration API
- [ ] 53. Add loading states and success/error messages to IntegrationForm
- [ ] 54. Write integration tests for the integration request submission flow

## Phase 5: Support Ticketing System

- [ ] 55. Create src/Frontend/Components/Support/SupportTicketForm.razor component
- [ ] 56. Add fields for user issue description and contact details
- [ ] 57. Implement support ticket submission API in src/Backend/SupportService.go
- [ ] 58. Write unit tests for support ticket submission API
- [ ] 59. Connect SupportTicketForm to submit tickets to support service
- [ ] 60. Add confirmation message once ticket is submitted
- [ ] 61. Develop an endpoint to retrieve past tickets for the user
- [ ] 62. Write unit tests for retrieving past support tickets
- [ ] 63. Create UI component to display list of past tickets
- [ ] 64. Write integration tests for support ticket functionality
- [ ] 65. Set up monitoring for support ticket resolution performance

## Phase 6: Testing and Deployment

- [ ] 66. Conduct end-to-end testing across all components
- [ ] 67. Set up continuous integration to run tests for each feature
- [ ] 68. Create deployment scripts for AWS hosting
- [ ] 69. Write documentation for deployment process
- [ ] 70. Optimize performance settings for all components
- [ ] 71. Prepare user documentation for the platform features
- [ ] 72. Launch the MVP to a selected audience for feedback
- [ ] 73. Gather user feedback through surveys and direct interviews
- [ ] 74. Analyze adoption metrics and engagement levels
- [ ] 75. Plan for the next iteration based on user insights