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system-architecture.md

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AIDevOS System Architecture

This document provides a high-level overview of the AIDevOS system architecture.

High-Level System Architecture

graph TB
    User[User/Business] -->|Product Spec| InputHandler[Input Handler]
    
    subgraph "Multi-LLM Chat System"
        InputHandler -->|Structured Spec| AgentPM[PM Agent]
        AgentPM <-->|Collaboration| AgentBackend[Backend Agent]
        AgentPM <-->|Collaboration| AgentFrontend[Frontend Agent]
        AgentPM <-->|Collaboration| AgentDevOps[DevOps Agent]
        AgentPM <-->|Collaboration| AgentQA[QA Agent]
        AgentPM <-->|Collaboration| AgentSecurity[Security Agent]
        
        AgentBackend <-->|API Design| AgentFrontend
        AgentBackend <-->|Deployment Plan| AgentDevOps
        AgentFrontend <-->|UI Testing| AgentQA
        AgentDevOps <-->|Security Checks| AgentSecurity
        AgentQA <-->|Security Testing| AgentSecurity
    end
    
    subgraph "AI-Driven CI/CD Pipeline"
        AgentPM -->|Architecture & Tasks| CodeGen[Code Generation]
        CodeGen -->|Generated Code| Testing[Automated Testing]
        Testing -->|Tested Code| Deployment[Deployment Engine]
        Testing -->|Test Results| CodeGen
    end
    
    subgraph "Durable Objects Microservices"
        Deployment -->|Deploy| DOOrchestration[Orchestration Layer]
        DOOrchestration -->|Manage| DO1[Durable Object 1]
        DOOrchestration -->|Manage| DO2[Durable Object 2]
        DOOrchestration -->|Manage| DO3[Durable Object 3]
        DOOrchestration -->|Manage| DON[Durable Object N]
        
        DO1 <-->|Communicate| DO2
        DO2 <-->|Communicate| DO3
        DO3 <-->|Communicate| DON
    end
    
    subgraph "Self-Improving Deployment Engine"
        Monitoring[Performance Monitoring] -->|Metrics & Logs| Analysis[Performance Analysis]
        Analysis -->|Optimization Recommendations| DOOrchestration
        Analysis -->|Code Improvements| CodeGen
        
        DO1 -->|Logs & Metrics| Monitoring
        DO2 -->|Logs & Metrics| Monitoring
        DO3 -->|Logs & Metrics| Monitoring
        DON -->|Logs & Metrics| Monitoring
    end
    
    DOOrchestration -->|Deployed Application| EndUser[End Users]
    
    classDef agents fill:#f9d5e5,stroke:#333,stroke-width:1px;
    classDef pipeline fill:#eeeeee,stroke:#333,stroke-width:1px;
    classDef dos fill:#d5f9e5,stroke:#333,stroke-width:1px;
    classDef monitoring fill:#e5d5f9,stroke:#333,stroke-width:1px;
    
    class AgentPM,AgentBackend,AgentFrontend,AgentDevOps,AgentQA,AgentSecurity agents;
    class CodeGen,Testing,Deployment pipeline;
    class DOOrchestration,DO1,DO2,DO3,DON dos;
    class Monitoring,Analysis monitoring;
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Key Components

1. Multi-LLM Chat System

  • Input Handler: Processes user inputs and converts them into structured specifications
  • AI Agents: Specialized agents for different aspects of development (PM, Backend, Frontend, DevOps, QA, Security)
  • Collaboration: Agents communicate and collaborate to refine architecture and tasks

2. AI-Driven CI/CD Pipeline

  • Code Generation: AI writes modular code based on the architecture and tasks
  • Automated Testing: Tests the generated code for functionality, performance, and security
  • Deployment Engine: Deploys the code as Durable Objects

3. Durable Objects Microservices

  • Orchestration Layer: Manages the lifecycle of Durable Objects
  • Durable Objects: Independent microservices, each handling a specific task
  • Communication: Objects communicate with each other through the Orchestration Layer

4. Self-Improving Deployment Engine

  • Performance Monitoring: Collects logs and metrics from Durable Objects
  • Performance Analysis: Analyzes performance data to identify optimization opportunities
  • Continuous Improvement: Recommends optimizations and code improvements