๐ค 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.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ USER INPUT (Idea or Codebase) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ PHASE 1: DISCOVERY AGENT โ
โ โโ Repository Analysis (GitHub URL) โ
โ โโ Requirements Extraction โ
โ โโ Architecture Overview Generation โ
โ โโ Output: ProjectSpec (what to build) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ PHASE 2: DESIGN AGENT โ
โ โโ Technical Architecture Design โ
โ โโ Component & Data Model Definition โ
โ โโ OpenAPI Specification Generation โ
โ โโ Security & Infrastructure Planning โ
โ โโ Output: Architecture & Implementation Plan โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ PHASE 3: IMPLEMENTATION AGENT โ
โ โโ Project Scaffolding (package.json, configs) โ
โ โโ Code Generation (per task) โ
โ โโ Test Generation (alongside code) โ
โ โโ Autonomy Boundaries (asks for approval) โ
โ โโ Output: Complete, tested, deployable code โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ DEPLOYABLE PROJECT ARTIFACT โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Technology Stack
๐ค AI & Language Models
- Claude 3.5 Sonnet
- Claude 3.5 Haiku
- Anthropic API
- Extended thinking
- Vision capabilities
๐ง Backend Runtime
- Node.js 20+
- TypeScript
- Express.js
- dotenv
- Zod (validation)
๐ ๏ธ Code Generation
- Mermaid (diagrams)
- OpenAPI spec generation
- Template engines
- Code parsing (AST)
- File I/O & versioning
๐ Data Formats
- JSON Schema
- YAML (configs)
- Markdown (documentation)
- JSONL (streaming)
- CSV/TSV
๐ Integrations
- GitHub API
- OpenAI API
- Codegen APIs
- npm registry
- Container registries
๐งช Testing & QA
- Jest
- Vitest
- Playwright
- ESLint
- Prettier
Three-Phase Pipeline
๐ 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
๐จ 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
๐ป 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
- โ Code analysis and parsing
- โ Architecture design generation
- โ File creation and modification
- โ Test generation
- โ Documentation creation
- โ Configuration file generation
Requires User Approval
- โ External API calls
- โ Database migrations
- โ Destructive operations
- โ Security-critical changes
- โ Resource provisioning
- โ Major architecture decisions
Generated Code Quality & Standards
๐ Code Standards
ESLint, Prettier, TypeScript strict mode, comprehensive typing, no `any` types in critical paths
๐งช Testing
Unit tests, integration tests, E2E tests with minimum 80% coverage target
๐ Documentation
README, API documentation, deployment guides, architecture diagrams, inline comments
๐ Security
Input validation, OWASP Top 10 prevention, secure defaults, secrets management
โก Performance
Optimized queries, caching strategies, code splitting, lazy loading considerations
๐ Deployment
Dockerfile, docker-compose, Kubernetes manifests, CI/CD pipelines