AI Agent Types
Meet your AI development team - specialized agents that work under your leadership
AI Agent Types
Your xSwarm team consists of specialized AI agents, each expert in their domain. Hereβs your complete roster:
Architecture & Planning Agents
ποΈ Architect Agent
Specializes in:
- System design and architecture
- Technology stack selection
- Scalability planning
- Design pattern recommendations
- Performance optimization strategies
Example usage:
> Design a microservices architecture for an e-commerce platform
π Project Planner
Specializes in:
- Breaking down complex projects
- Task prioritization
- Dependency management
- Timeline estimation
- Risk assessment
Development Agents
π» Full-Stack Developer
Specializes in:
- Frontend implementation (React, Vue, etc.)
- Backend development (Node.js, Python, etc.)
- API design and implementation
- Database operations
- Integration work
Example usage:
> Create a REST API for user management with CRUD operations
π¨ Frontend Specialist
Specializes in:
- UI/UX implementation
- Responsive design
- Component architecture
- State management
- Performance optimization
π§ Backend Specialist
Specializes in:
- Server architecture
- Database design
- Authentication/authorization
- API optimization
- Microservices
Quality Assurance Agents
π§ͺ Testing Agent
Specializes in:
- Unit test creation
- Integration testing
- End-to-end testing
- Test coverage analysis
- Edge case identification
Example usage:
> Write comprehensive tests for the authentication module
π Code Review Agent
Specializes in:
- Code quality assessment
- Best practice enforcement
- Security vulnerability detection
- Performance bottleneck identification
- Refactoring suggestions
Documentation & Communication Agents
π Documentation Agent
Specializes in:
- API documentation
- Code comments
- README files
- User guides
- Architecture documentation
Example usage:
> Document the API endpoints with examples and response schemas
π Tutorial Writer
Specializes in:
- Step-by-step guides
- Video script creation
- Example projects
- Learning paths
- Best practice guides
Operations & Security Agents
π DevOps Agent
Specializes in:
- CI/CD pipeline setup
- Deployment automation
- Infrastructure as Code
- Monitoring setup
- Performance optimization
Example usage:
> Set up GitHub Actions for automated testing and deployment
π Security Agent
Specializes in:
- Security audit
- Vulnerability assessment
- Authentication implementation
- Encryption strategies
- OWASP compliance
Specialist Agents
ποΈ Database Expert
Specializes in:
- Schema design
- Query optimization
- Migration strategies
- Data modeling
- Performance tuning
π API Integration Expert
Specializes in:
- Third-party integrations
- Webhook implementation
- API client creation
- Rate limiting
- Error handling
Working with Your Team
Delegation Strategies
-
Direct Request: Ask a specific agent
> Architect: Design a caching strategy for our API
-
General Request: Let xSwarm assign the right agents
> Implement user authentication with JWT
-
Multi-Agent Collaboration: Complex tasks automatically involve multiple agents
> Build a complete blog feature with posts, comments, and moderation
Agent Coordination
Agents automatically coordinate when needed:
- Architect designs, Developer implements
- Developer codes, Tester writes tests
- All agents follow consistent patterns
Best Practices
- Start with Architecture: Let the Architect Agent design before implementation
- Iterate Frequently: Make small requests and build incrementally
- Review Everything: Always review AI-generated code before using
- Maintain Context: Refer to previous work for consistency
Next Steps
- Learn about Workflow Patterns
- Explore Best Practices
- See Real-World Examples