How Agent Swarms Work
A streamlined process from requirements to deployment, powered by specialized AI agents
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Agent Analysis
AI agents parse requirements, identify architecture patterns, and create task breakdown
Team Assembly
Specialized agents are deployed in isolated microcontainers with role-based permissions
Build & Deploy
Agents collaborate through APIs and tools to build, test, and deploy your application
Meet Your AI Development Team
Six specialized agents working in harmony, each an expert in their domain
Architect Agent
Designs system architecture, microservices patterns, and technology stack decisions
Frontend Agent
Builds modern UI with React, Vue, or Angular. Handles responsive design and accessibility
Backend Agent
Creates robust APIs with FastAPI, Express, or Django. Database design and integration
Security Agent
Implements security best practices, vulnerability scanning, and compliance checks
QA Agent
Writes comprehensive tests using Playwright. BDD scenarios and integration testing
DevOps Agent
Sets up CI/CD pipelines, containerization, and cloud deployment infrastructure
Built for Scale & Security
Production-grade infrastructure with isolation, monitoring, and compliance
Microcontainer Isolation
Each agent swarm project runs in isolated Docker containers with resource limits and network policies. Complete project isolation ensures security and prevents interference.
Agent APIs & Tools
Agents communicate through well-defined REST APIs with 46+ specialized tools including project scaffolding, design tokens, and auto-layout generation.
MCP Server Integration
Model Context Protocol servers provide agents with secure access to external services, databases, and APIs with permission-based access control.
Real-Time Monitoring
Track agent performance, task completion, code quality scores, and resource usage in real-time with comprehensive analytics and RLHF feedback.
Choose Your AI Development Partner
From single agent assistance to full development swarms
Cody Agent
AI-native full-stack engineer
Cody is your autonomous AI developer: write, refactor, test, and deploy code using TDD/BDD practices. Local or hosted.
- Full IDE or VS Code plugin
- Code context engine
- Integrated testing + debugging tools
- Hosted model orchestration or local LLMs
- Quantum Boost compatible
- Memory snapshots + checkpoints
- Works with all AINative APIs
Agent Swarm
Multi-agent dev team on demand
A full-stack AI dev team with 6 production-grade agents trained in Semantic Seed Coding Standards. Build autonomously or co-pilot with human devs.
- CTO/Architect Agent
- Frontend, Backend, DevOps, QA & Testing Agents
- Built on Cody + Agent Orchestration Layer
- Deterministic, test-driven agent workflows
- Semantic memory across agents
- Multi-agent task routing
- All features from Dev Teams and QNN APIs