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Summary

This PR implements the foundational architecture for the outline generation application, completing the first two high-priority tasks:

Task 1: Project Setup and Core Infrastructure ✅

  • Next.js 15 with TypeScript and Tailwind CSS
  • Clerk authentication with secure middleware and route protection
  • Supabase PostgreSQL database with comprehensive RLS policies
  • Redis integration for session caching and rate limiting
  • Docker containerization with development and production configurations
  • Enhanced security with AES-256 encryption and security headers
  • Environment validation and comprehensive configuration management

Task 2: Template System and Outline Generation Engine ✅

  • JSON-based template framework with customizable sections and validation
  • OpenAI GPT-4 API integration for AI-powered outline generation
  • Anthropic Claude support as alternative AI provider with fallback mechanisms
  • Rate limiting and queue system for API request management
  • Template storage system with public/private templates and categories
  • Project outline management with real-time updates
  • Version control system with complete history tracking

Database Schema

Comprehensive database design with:

  • Projects table with owner/collaborator support
  • Templates table with 5 predefined templates (Basic, Technical, Marketing, Business, Academic)
  • Project versions for complete version history
  • Comments system for collaboration features
  • Export history tracking
  • AI generation logs for analytics and debugging

API Endpoints

Complete REST API with rate limiting:

  • Projects CRUD operations
  • Template management
  • AI outline generation
  • Outline management
  • Version control

Security & Performance

Enterprise-grade security implementation:

  • AES-256 data encryption at rest
  • JWT token management with Clerk
  • Row-level security (RLS) policies on all tables
  • Rate limiting on all API endpoints
  • Redis caching for improved performance
  • Input validation and XSS protection
  • Security headers (CSP, HSTS, X-Frame-Options, etc.)

Infrastructure

Production-ready deployment setup:

  • Docker multi-stage builds with security optimization
  • Docker Compose for local development with PostgreSQL and Redis
  • Environment configuration with comprehensive validation

Metrics

  • 26 files changed with 3,569 insertions
  • 2 major tasks completed (40% of project scope)
  • 10+ API endpoints implemented
  • 5 predefined templates with extensible system
  • Enterprise security standards implemented

🤖 Generated with Claude Code

…ystem

This comprehensive implementation provides the foundational architecture for the outline generation application:

## Project Setup and Core Infrastructure ✅
- Next.js 15 with TypeScript and Tailwind CSS
- Clerk authentication with secure middleware
- Supabase PostgreSQL database with RLS policies
- Redis integration for caching and rate limiting
- Docker containerization with development/production configs
- Enhanced security headers and encryption utilities
- Environment configuration and validation

## Template System and Outline Generation Engine ✅
- JSON-based template framework with customizable sections
- OpenAI GPT-4 API integration for AI-powered outline generation
- Anthropic Claude support as alternative AI provider
- Comprehensive rate limiting and API queue management
- Fallback mechanisms for API failures
- Template storage, validation, and retrieval system
- Project outline management with version control
- Template categories and utility functions

## Database Schema
- Projects table with collaboration support
- Templates table with public/private templates
- Project versions for complete version history
- Comments system for collaboration
- Export history tracking
- AI generation logging and analytics

## API Endpoints
- Projects CRUD operations
- Template management
- AI outline generation
- Outline management
- Version control

## Security & Performance
- AES-256 data encryption at rest
- JWT token management with Clerk
- Row-level security (RLS) policies
- Rate limiting on all API endpoints
- Caching with Redis for performance
- Input validation and sanitization

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
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