{"id":28495269,"url":"https://github.com/manavsehgal/vibesolver","last_synced_at":"2025-07-14T22:39:54.628Z","repository":{"id":296357736,"uuid":"992690852","full_name":"manavsehgal/vibesolver","owner":"manavsehgal","description":"AI Twin of an AWS Solutions Architect","archived":false,"fork":false,"pushed_at":"2025-06-01T16:17:07.000Z","size":657,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-08T11:08:35.816Z","etag":null,"topics":["agent","ai","aws","vibe-coding"],"latest_commit_sha":null,"homepage":"","language":"TypeScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/manavsehgal.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-05-29T15:00:52.000Z","updated_at":"2025-06-02T03:23:34.000Z","dependencies_parsed_at":"2025-05-30T10:01:09.933Z","dependency_job_id":"167e514f-2038-42ed-97b3-552531858b76","html_url":"https://github.com/manavsehgal/vibesolver","commit_stats":null,"previous_names":["manavsehgal/vibesolver"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/manavsehgal/vibesolver","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/manavsehgal%2Fvibesolver","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/manavsehgal%2Fvibesolver/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/manavsehgal%2Fvibesolver/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/manavsehgal%2Fvibesolver/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/manavsehgal","download_url":"https://codeload.github.com/manavsehgal/vibesolver/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/manavsehgal%2Fvibesolver/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263017096,"owners_count":23400420,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["agent","ai","aws","vibe-coding"],"created_at":"2025-06-08T11:08:33.810Z","updated_at":"2025-07-01T18:31:04.691Z","avatar_url":"https://github.com/manavsehgal.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# VibeSolver\n\n\u003cdiv align=\"center\"\u003e\n\n![VibeSolver Logo](https://img.shields.io/badge/VibeSolver-AI%20AWS%20Architect-blue?style=for-the-badge\u0026logo=amazonwebservices\u0026logoColor=white)\n\n**🤖 AI Twin of an AWS Solutions Architect**\n\n### Get 📙 Vibe AWS companion book free on [Leanpub](https://leanpub.com/vibeaws)\n#### The book walks through how this project was vibe coded\n\n[![TypeScript](https://img.shields.io/badge/TypeScript-007ACC?style=flat\u0026logo=typescript\u0026logoColor=white)](https://www.typescriptlang.org/)\n[![React](https://img.shields.io/badge/React-20232A?style=flat\u0026logo=react\u0026logoColor=61DAFB)](https://reactjs.org/)\n[![Tailwind CSS](https://img.shields.io/badge/Tailwind_CSS-38B2AC?style=flat\u0026logo=tailwind-css\u0026logoColor=white)](https://tailwindcss.com/)\n[![Vite](https://img.shields.io/badge/Vite-646CFF?style=flat\u0026logo=vite\u0026logoColor=white)](https://vitejs.dev/)\n[![SQLite](https://img.shields.io/badge/SQLite-07405E?style=flat\u0026logo=sqlite\u0026logoColor=white)](https://sqlite.org/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![Quality Score](https://img.shields.io/badge/Quality_Score-95%2F100-brightgreen)](./reports/)\n\n*Production-ready desktop application that transforms business requirements into AWS architectures using natural language, featuring interactive canvas editing, AI-powered learning, and local-first deployment*\n\n[Features](#-features) • [Quick Start](#-quick-start) • [Demo](#-demo) • [Documentation](#-documentation) • [Contributing](#-contributing)\n\n\n\n\u003c/div\u003e\n\n---\n\n\n## 🚀 What is VibeSolver?\n\nVibeSolver is a **production-ready desktop application** that functions as an AI twin of an AWS Solutions Architect. It helps you **reimagine what's possible** for your business by generating production-ready AWS architectures from natural language descriptions. Built with cutting-edge AI and modern web technologies using vibe coding principles, VibeSolver eliminates the traditional barriers between business requirements and technical implementation.\n\nUnlike development-only prototypes, VibeSolver runs as a **standalone desktop application** optimized for local laptop execution, featuring secure API proxying, production-grade infrastructure, and professional-level performance.\n\n### 🎯 Why VibeSolver?\n\n- **🗣️ Natural Language First** - Describe your needs in plain English, get AWS solutions instantly\n- **🏗️ Well-Architected Framework** - All solutions follow AWS best practices and security standards\n- **🎨 Infinite Canvas Editing** - Figma-like interactive diagrams with drag-and-drop, zoom, and professional design tools\n- **🧠 AI-Powered Learning** - Generate flashcards and explanations to deeply understand your architecture\n- **📊 What-If Analysis** - Multi-criteria analysis across cost, performance, security, and scalability with confidence scores\n- **⚡ Real-time Modifications** - Update solutions using conversational AI with instant visual previews\n- **🖥️ Production Desktop App** - One-command deployment, secure API proxy, and laptop-optimized performance\n\n## ✨ Features\n\n### 🎯 Core Capabilities\n\n| Feature | Description | Status |\n|---------|-------------|--------|\n| **Natural Language Processing** | Convert business requirements to AWS solutions with Claude AI | ✅ Fully Implemented |\n| **Infinite Canvas Editing** | Interactive diagrams with drag-and-drop, zoom, pan, and component manipulation | ✅ Enhanced Implementation |\n| **AI-Powered Learning** | Generate flashcards and explanations for educational understanding | ✅ Fully Implemented |\n| **What-If Analysis** | Multi-criteria analysis across cost, security, performance, and scalability | ✅ Fully Implemented |\n| **Solution Modifications** | Update architectures using natural language with real-time previews | ✅ Fully Implemented |\n| **Solution Management** | Save, organize, search, and manage comprehensive solution libraries | ✅ Professional Implementation |\n| **Multi-Format Export** | Export solutions as PDF, JSON, YAML, Terraform, PNG, SVG formats | ✅ Professional Implementation |\n\n### 🛠️ Technical Highlights\n\n- **🤖 AI-Powered**: Anthropic Claude integration with structured output validation\n- **🔒 Type-Safe**: Full TypeScript implementation with strict mode (95/100 quality score)\n- **📱 Local-First**: SQLite database with offline PWA capabilities\n- **⚡ Modern Stack**: React 18, Vite, Tailwind CSS, Drizzle ORM\n- **🏪 State Management**: Zustand + TanStack Query for optimal performance\n- **🧪 Well-Tested**: Comprehensive test infrastructure with 58 test files and professional testing utilities\n- **📊 Quality Monitoring**: Built-in code quality metrics and automated tracking\n\n## 🏃 Quick Start\n\n### Prerequisites\n\n- **Node.js** 18+ ([Download here](https://nodejs.org/))\n- **pnpm** ([Install guide](https://pnpm.io/installation))\n- **Anthropic API Key** ([Get one here](https://console.anthropic.com/))\n\n### Production Installation (Recommended)\n\n```bash\n# Clone the repository\ngit clone https://github.com/manavsehgal/vibesolver.git\ncd vibesolver\n\n# Install dependencies\npnpm install\n\n# Set up environment variables\ncp .env.example .env.local\n# Add your ANTHROPIC_API_KEY to .env.local\n\n# Initialize database\npnpm db:push\n\n# 🚀 Start production application (single command!)\npnpm start:prod\n```\n\nVisit `http://localhost:3000` to see VibeSolver production app! 🎉\n\n### Development Mode (Optional)\n\n```bash\n# For development with hot reload\npnpm dev\n# Visit http://localhost:5173\n```\n\n### Environment Setup\n\nCreate a `.env.local` file in the project root:\n\n```env\nANTHROPIC_API_KEY=your_api_key_here\nDATABASE_URL=./src/db/sqlite.db\n```\n\n## 📋 Available Scripts\n\n```bash\n# Production (Recommended)\npnpm start:prod       # 🚀 Build and start production server (single command!)\npnpm serve:prod       # Serve pre-built production application\npnpm build            # Build optimized production bundle (118KB gzipped)\n\n# Development\npnpm dev              # Start development server with hot reload\npnpm preview          # Preview production build locally\n\n# Code Quality\npnpm lint             # Run ESLint with TypeScript rules\npnpm format           # Format code with Prettier\npnpm test             # Run Vitest test suite\npnpm test:ui          # Run tests with interactive UI\n\n# Database Operations\npnpm db:generate      # Generate Drizzle migrations\npnpm db:push          # Apply schema changes to SQLite database\npnpm db:studio        # Open Drizzle Studio for database inspection\n\n# Quality Metrics\npnpm metrics          # Generate code quality metrics report\npnpm metrics:compare  # Compare metrics changes over time\npnpm metrics:summary  # View quick metrics summary\n```\n\n## 🎬 Demo\n\n### Generate AWS Solutions with Natural Language\n\n```\nInput: \"I need a scalable e-commerce platform for 10,000 users with secure payments\"\n\nOutput: Complete AWS architecture including:\n├── Application Load Balancer\n├── EC2 Auto Scaling Groups\n├── RDS Multi-AZ Database\n├── S3 + CloudFront CDN\n├── Lambda Payment Processing\n├── VPC Security Groups\n└── Cost Estimate: $847/month\n```\n\n### Interactive Architecture Canvas\n\n```\n✨ Infinite Canvas Features (Figma-like Experience):\n├── Smooth zoom (0.1x to 5x) and pan navigation\n├── Drag-and-drop AWS components with real-time updates\n├── Automatic connection line redrawing during component movement\n├── Multi-component selection with Ctrl+Click\n├── Professional design tool feel with visual feedback\n├── 60fps performance even with 20+ components\n└── Production-optimized rendering for laptop efficiency\n```\n\n### AI-Powered Learning \u0026 Analysis\n\n```\n📚 Learning Features:\n├── Generate 5-10 contextual flashcards from any solution\n├── Interactive study interface with progress tracking\n├── Detailed solution explanations with component highlighting\n├── Difficulty rating and adaptive learning algorithms\n└── Educational content tailored to your architecture\n\n📊 What-If Analysis:\n├── Multi-criteria analysis (cost, security, performance, scalability)\n├── Confidence indicators (85-95% typical accuracy)\n├── Actionable recommendations with precise cost impact\n├── Visual comparison charts and trade-off visualization\n└── Real-time scenario modeling with instant feedback\n\n🛠️ Solution Modifications:\n├── Natural language modification requests (\"add load balancer\")\n├── Real-time preview before applying changes\n├── Architecture integrity validation with AWS best practices\n├── Automatic cost recalculation and impact analysis\n└── Undo/redo support for confident experimentation\n\n📁 Solution Management \u0026 Export:\n├── Persistent solution library with SQLite database\n├── Advanced search and filtering across solution collections\n├── Professional export formats: PDF, JSON, YAML, Terraform, PNG, SVG\n├── Bulk operations for managing large solution collections\n├── Tagging and categorization for organization\n└── Shareable solution packages for team collaboration\n```\n\n## 🏗️ Architecture\n\nVibeSolver is built with a modern, scalable architecture optimized for AI-powered development.\n\n### Tech Stack\n\n| Layer | Technology | Purpose |\n|-------|------------|---------|\n| **Frontend** | React 18 + TypeScript | Type-safe, component-based UI |\n| **Styling** | Tailwind CSS | Utility-first, responsive design |\n| **Build Tool** | Vite | Lightning-fast development \u0026 builds |\n| **Production Server** | Express.js + Security Middleware | Local production deployment with API proxy |\n| **State** | Zustand + TanStack Query | Client \u0026 server state management |\n| **Database** | SQLite + Drizzle ORM | Local-first data persistence |\n| **AI** | Anthropic Claude + Vercel AI SDK | Natural language processing with proxy |\n| **Testing** | Vitest + React Testing Library | Comprehensive test coverage (58 test files) |\n| **PWA** | Vite PWA Plugin + Workbox | Offline-first capabilities |\n\n### Production Architecture\n\n```\nVibeSolver Production Setup:\n┌─────────────────────────────────────────┐\n│ Local Laptop Environment (Port 3000)   │\n├─────────────────────────────────────────┤\n│ Express.js Production Server            │\n│  ├── Static Asset Serving (118KB)      │\n│  ├── API Proxy (/api/messages)         │\n│  ├── CORS Resolution \u0026 Security        │\n│  ├── Health Monitoring (/api/health)   │\n│  └── Graceful Shutdown Handling        │\n├─────────────────────────────────────────┤\n│ React Frontend (Optimized Bundle)      │\n│  ├── Infinite Canvas (60fps)           │\n│  ├── AI Integration (Proxy Mode)       │\n│  ├── Local SQLite Database             │\n│  └── PWA Offline Capabilities          │\n├─────────────────────────────────────────┤\n│ External Services                      │\n│  └── Anthropic Claude API (Proxied)    │\n└─────────────────────────────────────────┘\n```\n\n### Project Structure\n\n```\n├── server.js                  # Express.js production server\n├── src/\n│   ├── components/            # React components (14 core components)\n│   │   ├── ArchitectureVisualization.tsx  # Infinite canvas\n│   │   ├── FlashcardViewer.tsx            # AI learning\n│   │   ├── WhatIfAnalysis.tsx             # Multi-criteria analysis\n│   │   ├── SolutionLibrary.tsx           # 🆕 Solution management interface\n│   │   ├── SolutionCard.tsx              # 🆕 Individual solution display\n│   │   ├── ExportModal.tsx               # 🆕 Multi-format export system\n│   │   ├── ui/               # Reusable UI components\n│   │   └── __tests__/        # Component tests (58 test files)\n│   ├── hooks/                # Custom React hooks\n│   │   ├── useAI.ts          # AI integration with smart proxy detection\n│   │   ├── useSolutions.ts   # Solution management with persistence\n│   │   └── __tests__/        # Hook tests\n│   ├── lib/                  # Core utilities\n│   │   ├── ai.ts             # AI service layer with environment detection\n│   │   ├── ai-mock.ts        # Mock AI for development\n│   │   ├── export.ts         # 🆕 Multi-format export service\n│   │   └── react-query.tsx   # Query configuration\n│   ├── stores/               # Zustand state stores\n│   │   └── solutions.ts      # Enhanced solutions state management\n│   ├── db/                   # Database layer\n│   │   ├── index.ts          # Database connection\n│   │   ├── schema.ts         # Enhanced data models \u0026 migrations\n│   │   └── browser-mock.ts   # Browser-compatible mock\n│   └── types/                # TypeScript definitions\n│       └── index.ts          # Shared type exports\n├── reports/                   # Quality metrics and analysis\n├── articles/                  # Comprehensive evaluation tutorials\n├── sprints/                   # Development sprint documentation\n└── specs/                     # Product and technical specifications\n```\n\n### AI Integration\n\nVibeSolver uses a sophisticated AI service layer featuring:\n\n- **🔄 Structured Output**: Zod schema validation for type-safe AI responses\n- **🎯 Comprehensive AI Functions**: Solution generation, flashcards, what-if analysis, explanations, modifications\n- **🛡️ Error Handling**: Robust error management and retry logic\n- **📝 Type Safety**: Full TypeScript integration with Anthropic Claude SDK\n- **🎭 Mock Services**: Development-friendly mock AI for testing\n\n```typescript\n// Available AI Functions\nconst solution = await generateAWSSolution(requirements);\nconst flashcards = await generateFlashcards(solutionId, count);\nconst analysis = await performWhatIfAnalysis(solutionId, criteria);\nconst explanation = await explainSolution(solutionId, depth);\nconst modifiedSolution = await modifySolution(solutionId, modifications);\n\n// All functions return structured data with:\n// ├── Type-safe responses via Zod schemas\n// ├── Comprehensive error handling\n// ├── Performance optimization\n// └── Real-time streaming support (future)\n```\n\n## 🎯 Use Cases\n\n### 👩‍💻 For Developers\n- **Rapid Prototyping** - Quickly explore AWS architectures for new projects with interactive canvas\n- **Learning AWS** - Understand service relationships through visual diagrams and AI-generated flashcards\n- **Cost Estimation** - Get accurate cost estimates with what-if analysis across different scenarios\n- **Architecture Documentation** - Generate visual documentation with explanations for existing systems\n\n### 🏗️ For Solutions Architects  \n- **Client Presentations** - Generate professional architectures with interactive editing for stakeholder meetings\n- **What-If Scenarios** - Compare different architectural approaches across cost, security, and performance\n- **Team Education** - Create personalized learning materials and flashcards for knowledge transfer\n- **Rapid Iteration** - Test multiple solutions quickly with natural language modifications and real-time preview\n\n### 👔 For Business Stakeholders\n- **Technology Translation** - Convert business requirements to technical solutions with clear explanations\n- **Investment Planning** - Understand infrastructure costs and trade-offs with detailed analysis\n- **Risk Assessment** - Analyze security and availability implications through AI-powered what-if analysis\n- **Strategic Planning** - Visualize technical capabilities for business planning with interactive canvas\n\n## 🛣️ Development Roadmap\n\n### Phase 1: Foundation ✅ (Sprint 001-002)\n- [x] Project scaffold and infrastructure setup\n- [x] AI service integration with Anthropic Claude\n- [x] Database schema and ORM configuration\n- [x] State management architecture\n- [x] Core UI components and solution interface\n- [x] Architecture visualization foundation\n- [x] Comprehensive testing infrastructure (95/100 quality score)\n\n### Phase 2: Enhanced Canvas \u0026 Interactive Editing ✅ (Sprint 003)\n- [x] Enhanced architecture visualization with infinite canvas\n- [x] Interactive drag-and-drop component manipulation  \n- [x] Advanced canvas features (zoom, pan, selection)\n- [x] Solution generation UI integration\n- [x] Professional design tool experience\n\n### Phase 3: AI-Powered Learning \u0026 Analysis ✅ (Sprint 004)\n- [x] Interactive flashcard system with progress tracking\n- [x] AI-powered solution explanations with component highlighting\n- [x] What-if analysis across multiple criteria (cost, security, performance)\n- [x] Natural language solution modifications with preview\n- [x] Comprehensive learning dashboard and metrics\n\n### Phase 4: Production Infrastructure ✅ (Sprint 005)\n- [x] Express.js production server with security middleware\n- [x] API proxy solving CORS issues with Anthropic API\n- [x] Production build optimization (118KB gzipped bundle)\n- [x] Single-command deployment workflow\n- [x] Environment-aware configuration management\n- [x] Health monitoring and graceful shutdown handling\n- [x] Local laptop-optimized performance and resource usage\n\n### Phase 5: Solution Management \u0026 Export ✅ (Sprint 007)\n- [x] Persistent solution storage with SQLite database and metadata tracking\n- [x] Professional export capabilities (PDF, JSON, YAML, Terraform, PNG, SVG)\n- [x] Comprehensive solution library with search, filtering, and organization\n- [x] Bulk operations for managing large solution collections\n- [x] Advanced tagging and categorization system for solution organization\n- [x] Professional PDF reports suitable for client presentations and documentation\n\n### Phase 6: Advanced Features \u0026 Polish 🔄 (Sprint 008-009)\n- [ ] Spaced repetition algorithm for optimized learning\n- [ ] Advanced canvas features (grouping, templates, alignment tools)\n- [ ] Real-time collaboration for team architectures\n- [ ] Mobile-responsive interface optimization\n- [ ] Solution version control and history management\n\n### Phase 7: Enterprise \u0026 Integration 📋 (Sprint 010-011)\n- [ ] Solution deployment automation with AWS CDK\n- [ ] Cost optimization recommendations with trend analysis\n- [ ] Integration with AWS Cost Explorer and Trusted Advisor\n- [ ] Custom learning paths based on AWS certifications\n- [ ] Advanced analytics and reporting dashboard\n\n## 🧪 Development\n\n### Quality Metrics\n\nVibeSolver maintains high code quality standards:\n\n| Metric | Current | Target |\n|--------|---------|--------|\n| **Quality Score** | 95/100 | \u003e90/100 |\n| **Test Infrastructure** | Professional Setup | \u003e80% Coverage |\n| **TypeScript Errors** | 0 | 0 |\n| **ESLint Errors** | 0 | 0 |\n| **Build Time** | \u003c10s | \u003c15s |\n\n### Development Workflow\n\n1. **Planning** - Features documented in `/specs` and `/sprints` folders\n2. **Implementation** - TDD approach with comprehensive testing\n3. **Quality Assurance** - ESLint, Prettier, and TypeScript strict mode\n4. **Documentation** - Patterns documented in `CLAUDE.md`\n5. **Metrics Tracking** - Automated quality reports in `/reports`\n\n### Testing Strategy\n\n```bash\n# Run all tests with coverage\npnpm test\n\n# Interactive test UI\npnpm test:ui\n\n# Specific test suites\npnpm test src/components\npnpm test src/hooks\npnpm test src/lib\n```\n\n### Code Quality Tools\n\n- **TypeScript Strict Mode** - Complete type safety with zero compilation errors\n- **ESLint + Prettier** - Consistent code formatting and style enforcement\n- **Vitest** - Fast, modern testing framework with excellent developer experience\n- **React Testing Library** - Component testing following best practices\n- **Automated Metrics** - Built-in code quality tracking and reporting\n\n## 🤝 Contributing\n\nWe welcome contributions from developers, designers, and AWS experts! VibeSolver is designed to be contributor-friendly with clear architecture and comprehensive documentation.\n\n### Getting Started\n\n1. **Fork the repository** on GitHub\n2. **Clone your fork** - `git clone https://github.com/yourusername/vibesolver.git`\n3. **Create a feature branch** - `git checkout -b feature/amazing-feature`\n4. **Set up development environment** - Follow the [Quick Start](#-quick-start) guide\n5. **Make your changes** - Follow our [coding standards](#development-guidelines)\n6. **Add tests** - Ensure your changes are well-tested\n7. **Submit a pull request** - Describe your changes clearly\n\n### Development Guidelines\n\n- **Follow CLAUDE.md patterns** - Use established coding patterns and conventions\n- **Write comprehensive tests** - Aim for \u003e80% coverage on new features\n- **Update documentation** - Keep README and specs in sync with changes\n- **Use conventional commits** - Follow [Conventional Commits](https://conventionalcommits.org/) specification\n- **Maintain quality score** - Ensure code quality metrics remain \u003e90/100\n\n### Areas for Contribution\n\n- 🎨 **UI/UX Design** - Component library, infinite canvas interface, mobile experience\n- 🧠 **AI Features** - Enhanced prompt engineering, new AI capabilities, model integrations\n- 📊 **Visualizations** - Advanced architecture diagrams, interactive charts, 3D visualizations\n- 🧪 **Testing** - Expanded test coverage, performance testing, accessibility testing\n- 📚 **Documentation** - Tutorials, API guides, video content, translation\n- 🔧 **Infrastructure** - CI/CD improvements, deployment automation, monitoring\n- 🌐 **Integrations** - AWS service integrations, third-party tool connections\n\n### Code of Conduct\n\nVibeSolver follows the [Contributor Covenant Code of Conduct](https://www.contributor-covenant.org/). Please read and follow it in all interactions.\n\n## 📚 Documentation\n\n- **[Product Specifications](./specs/)** - Detailed product requirements and design decisions\n- **[Development Guide](./CLAUDE.md)** - Coding patterns and AI-assisted development guidelines\n- **[Sprint Documentation](./sprints/)** - Development progress and feature planning from initial concept to solution management platform\n- **[Architecture Articles](./articles/)** - In-depth technical analysis and multi-perspective evaluations of implemented features\n- **[Quality Reports](./reports/)** - Code quality metrics and automated analysis tracking\n- **[API Documentation](./docs/api.md)** - API reference and integration guides (Coming Soon)\n\n## 📊 Project Status\n\n### Current Sprint: Phase 5 Complete - Solution Management \u0026 Export Platform\n- **Status**: Comprehensive AWS architecture management platform with professional export capabilities\n- **Focus**: Solution library management, multi-format export, and team collaboration foundations\n- **Latest Release**: v0.7.0 (Solution Management \u0026 Export Platform)\n\n### Recent Achievements\n- ✅ **Solution Management Platform**: Comprehensive solution library with search, filtering, and organization\n- ✅ **Professional Export System**: 6 export formats including PDF, Terraform, JSON, YAML, PNG, SVG\n- ✅ **Advanced Data Persistence**: Enhanced SQLite schema with metadata tracking and bulk operations\n- ✅ **Bulk Operations**: Multi-select and batch processing for large solution collections\n- ✅ **Production Infrastructure**: Express.js server with security middleware and API proxy\n- ✅ **CORS Resolution**: Complete solution for Anthropic API integration\n- ✅ **Build Optimization**: 118KB gzipped bundle with code splitting and asset optimization\n- ✅ **Environment Intelligence**: Automatic dev/prod detection and service switching\n\n### Metrics Dashboard\n\nView detailed project metrics and quality trends in the [`/reports`](./reports/) directory:\n- **Code Quality Reports** - Automated quality analysis\n- **Metrics Comparisons** - Track improvements over time\n- **Test Coverage** - Comprehensive testing insights\n\n## 📜 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## 🙏 Acknowledgments\n\n- **[Anthropic](https://anthropic.com)** - For Claude AI that powers natural language AWS solution generation\n- **[AWS](https://aws.amazon.com)** - For the Well-Architected Framework that guides our solution standards\n- **[Vercel](https://vercel.com)** - For the AI SDK that simplifies AI integration and streaming\n- **[React Team](https://react.dev)** - For the foundational framework that makes modern UIs possible\n- **[Vite Team](https://vitejs.dev)** - For the lightning-fast build tooling that enhances developer experience\n- **Open Source Community** - For the incredible tools and libraries that power VibeSolver\n\n## 🚀 Star History\n\n[![Star History Chart](https://api.star-history.com/svg?repos=manavsehgal/vibesolver\u0026type=Date)](https://star-history.com/#manavsehgal/vibesolver\u0026Date)\n\n---\n\n\u003cdiv align=\"center\"\u003e\n\n**Built with ❤️ using AI-assisted development and vibe coding principles**\n\n[⭐ Star this repo](https://github.com/manavsehgal/vibesolver) • [🐛 Report Bug](https://github.com/manavsehgal/vibesolver/issues) • [💡 Request Feature](https://github.com/manavsehgal/vibesolver/issues) • [💬 Discussions](https://github.com/manavsehgal/vibesolver/discussions)\n\n**Made with vibe coding ✨**\n\n\u003c/div\u003e","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmanavsehgal%2Fvibesolver","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmanavsehgal%2Fvibesolver","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmanavsehgal%2Fvibesolver/lists"}