๐Ÿค– Agent-Orchestrator - Technical Architecture

AI-powered software development assistant with three-phase pipeline: Discovery, Design, and Implementation using Claude AI.

System Architecture Overview

Agent-Orchestrator is a sophisticated multi-agent system that automates the entire software development lifecycle. From analyzing existing repositories to generating complete implementations, it coordinates three specialized Claude AI agents to transform ideas or codebases into fully designed and implemented projects.

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚                    USER INPUT (Idea or Codebase)              โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                               โ†“
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚        PHASE 1: DISCOVERY AGENT                           โ”‚
โ”‚  โ”œโ”€ Repository Analysis (GitHub URL)                      โ”‚
โ”‚  โ”œโ”€ Requirements Extraction                               โ”‚
โ”‚  โ”œโ”€ Architecture Overview Generation                      โ”‚
โ”‚  โ””โ”€ Output: ProjectSpec (what to build)                   โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                               โ†“
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚        PHASE 2: DESIGN AGENT                              โ”‚
โ”‚  โ”œโ”€ Technical Architecture Design                         โ”‚
โ”‚  โ”œโ”€ Component & Data Model Definition                     โ”‚
โ”‚  โ”œโ”€ OpenAPI Specification Generation                      โ”‚
โ”‚  โ”œโ”€ Security & Infrastructure Planning                    โ”‚
โ”‚  โ””โ”€ Output: Architecture & Implementation Plan            โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                               โ†“
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚        PHASE 3: IMPLEMENTATION AGENT                      โ”‚
โ”‚  โ”œโ”€ Project Scaffolding (package.json, configs)           โ”‚
โ”‚  โ”œโ”€ Code Generation (per task)                            โ”‚
โ”‚  โ”œโ”€ Test Generation (alongside code)                      โ”‚
โ”‚  โ”œโ”€ Autonomy Boundaries (asks for approval)               โ”‚
โ”‚  โ””โ”€ Output: Complete, tested, deployable code             โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                               โ†“
            โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
            โ”‚  DEPLOYABLE PROJECT ARTIFACT โ”‚
            โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Technology Stack

๐Ÿค– AI & Language Models

  • Claude 3.5 Sonnet
  • Claude 3.5 Haiku
  • Anthropic API
  • Extended thinking
  • Vision capabilities

๐Ÿ”ง Backend Runtime

  • Node.js 20+
  • TypeScript
  • Express.js
  • dotenv
  • Zod (validation)

๐Ÿ› ๏ธ Code Generation

  • Mermaid (diagrams)
  • OpenAPI spec generation
  • Template engines
  • Code parsing (AST)
  • File I/O & versioning

๐Ÿ“Š Data Formats

  • JSON Schema
  • YAML (configs)
  • Markdown (documentation)
  • JSONL (streaming)
  • CSV/TSV

๐Ÿ”— Integrations

  • GitHub API
  • OpenAI API
  • Codegen APIs
  • npm registry
  • Container registries

๐Ÿงช Testing & QA

  • Jest
  • Vitest
  • Playwright
  • ESLint
  • Prettier

Three-Phase Pipeline

๐Ÿ“‹ Phase 1: Discovery Agent

Purpose: Understand what needs to be built

Input: Existing repo URL or new project ideas

Output: ProjectSpec with requirements, architecture overview, and roadmap

Capabilities: Repository reverse-engineering, interview mode, hybrid analysis

๐ŸŽจ Phase 2: Design Agent

Purpose: Create detailed technical architecture

Input: ProjectSpec from Phase 1

Output: Complete design including diagrams, data models, APIs, security architecture

Capabilities: Mermaid diagrams, OpenAPI specs, ADRs, implementation plan with priorities

๐Ÿ’ป Phase 3: Implementation Agent

Purpose: Generate actual production-ready code

Input: Architecture design from Phase 2

Output: Complete scaffolding, implemented code, tests, and configurations

Capabilities: Code generation, test creation, autonomy boundaries with user approval

Supported Technology Stacks

Frontend Backend Database Infrastructure
React + TypeScript Node.js + Express PostgreSQL Docker + K8s
Next.js + Tailwind Python + FastAPI MongoDB AWS ECS
Vue + TypeScript Go + Gin DynamoDB GCP Cloud Run
Angular + RxJS Java + Spring Boot Firebase Azure Container Apps
Svelte + TypeScript C# + .NET Core Supabase Vercel + Serverless

Agent Capabilities & Autonomy

Autonomous Operations

  • โœ“ Code analysis and parsing
  • โœ“ Architecture design generation
  • โœ“ File creation and modification
  • โœ“ Test generation
  • โœ“ Documentation creation
  • โœ“ Configuration file generation

Requires User Approval

  • โœ“ External API calls
  • โœ“ Database migrations
  • โœ“ Destructive operations
  • โœ“ Security-critical changes
  • โœ“ Resource provisioning
  • โœ“ Major architecture decisions

Generated Code Quality & Standards

๐Ÿ“‹ Code Standards

ESLint, Prettier, TypeScript strict mode, comprehensive typing, no `any` types in critical paths

๐Ÿงช Testing

Unit tests, integration tests, E2E tests with minimum 80% coverage target

๐Ÿ“š Documentation

README, API documentation, deployment guides, architecture diagrams, inline comments

๐Ÿ”’ Security

Input validation, OWASP Top 10 prevention, secure defaults, secrets management

โšก Performance

Optimized queries, caching strategies, code splitting, lazy loading considerations

๐Ÿš€ Deployment

Dockerfile, docker-compose, Kubernetes manifests, CI/CD pipelines