Responsive Layout - Copy this React, Tailwind Component to your project
# Multi Agent App Generator Project Brief ## Project Objective Develop an AI powered system that generates, tests, and deploys full stack applications based on user input, utilizing multiple specialized AI agents and an interactive curator agent. ## Core Components 1. Central Orchestrator Manages overall system flow and task distribution Coordinates activities of all other components 2. Agent Pool Collection of specialized AI agents (e.g., Frontend, Backend, Database, DevOps) Agents collaborate to generate and refine code 3. Curator Agent Monitors and manages other agents Interacts with users for system fine tuning Provides system health and performance insights 4. Code Generation Engine Produces code based on user requirements and agent input Supports multiple programming languages 5. VS Code like Editor Provides interface for code review and manual editing Integrates with the overall system for seamless user interaction 6. Analysis & Testing Suite Continuously checks code quality and functionality Provides feedback for iterative improvements 7. Version Control & Deployment Pipeline Manages code versions Automates testing and deployment processes ## Key Features Interactive curator for real time system adjustments Iterative development process with automatic error correction Continuous integration of new features and updates Adaptive learning to improve system performance over time Support for multiple programming languages User friendly interface for project input and management ## Technical Approach Microservices architecture for scalability and modularity Polyglot programming: Use optimal languages for specific tasks API first design for smooth integration between components Containerization for consistent development and deployment Continuous Integration/Continuous Deployment (CI/CD) pipelines ## Development Priorities 1. Establish core infrastructure and Central Orchestrator 2. Implement basic Agent Pool and Curator Agent 3. Develop Code Generation Engine MVP 4. Create VS Code like Editor interface 5. Integrate Version Control and basic deployment functionality 6. Implement initial Analysis & Testing capabilities 7. Enhance system with advanced features and optimizations ## Success Criteria Generate functional full stack applications based on user requirements Achieve high code quality and test coverage in generated applications Provide intuitive user experience for app generation and management Demonstrate scalability and adaptability to various project types Exhibit continuous learning and improvement in code generation quality ## Next Steps Define detailed specifications for each core component Establish development environment and toolchain Begin implementation of Central Orchestrator and basic Agent Pool
