Developer Roadmap
This roadmap provides a comprehensive guide for developers working on the AI Agent Orchestration Platform, outlining the development phases, milestones, and technical focus areas across the expanded scope.
1. Development Phases Overview
Phase 1: Core Platform (MVP)
- Visual workflow builder
- Backend API and orchestration
- Basic agent execution (Docker/API)
- Human-in-the-Loop capabilities
- Logging and monitoring
- Core documentation
Phase 2: Multi-Modal & Edge
- Vision, audio, and sensor agent support
- Edge deployment framework
- Offline operation capabilities
- AR/VR interfaces
- Robotics integration
- Multi-modal documentation
Phase 3: Enterprise & Federated
- Federated collaboration framework
- Privacy-preserving computation
- Industry compliance modules
- Federated learning
- Enterprise security
- Federated documentation
Phase 4: Marketplace & Ecosystem
- Agent registry and marketplace
- Monetization framework
- Quality assurance system
- Developer tools
- Community governance
- Marketplace documentation
2. Technical Roadmap by Component
2.1 Frontend Development
Phase 1: Core Visual Builder
- React/React Flow implementation
- Workflow canvas and node library
- Basic node configuration UI
- Workflow save/load functionality
- Simple execution monitoring
- HITL interface
Phase 2: Multi-Modal Extensions
- Multi-modal node types
- Specialized visualization components
- AR/VR interface prototypes
- Mobile-responsive design
- Advanced monitoring dashboards
Phase 3: Federated & Enterprise Features
- Cross-organization workflow visualization
- Compliance and audit interfaces
- Enterprise role-based access control
- Federated workflow monitoring
- Security and privacy controls
Phase 4: Marketplace Integration
- Marketplace browsing and search
- Agent installation and configuration
- Ratings and reviews system
- Developer dashboard
- Usage analytics
2.2 Backend Development
Phase 1: Core Orchestration
- FastAPI service implementation
- Temporal.io integration
- Workflow CRUD operations
- Basic agent runner (Docker/API)
- Simple HITL implementation
- Logging and status tracking
Phase 2: Multi-Modal & Edge Support
- Multi-modal agent adapters
- Edge deployment manager
- Offline synchronization
- Resource optimization
- Lightweight runtime
Phase 3: Federated & Enterprise Capabilities
- Secure gateway implementation
- Cross-organization orchestration
- Federated learning framework
- Privacy-preserving computation
- Enterprise authentication and authorization
Phase 4: Marketplace Infrastructure
- Registry and discovery service
- Monetization and billing system
- Quality assurance framework
- Version management
- Analytics and reporting
2.3 Agent Development
Phase 1: Core Agent Types
- Docker container agents
- REST API agents
- Script-based agents
- Basic agent adapters
Phase 2: Multi-Modal Agents
- Vision agents (image/video processing)
- Audio agents (speech/sound processing)
- Sensor data agents (IoT/telemetry)
- AR/VR agents
- Robotics agents
Phase 3: Federated Agents
- Privacy-preserving agents
- Secure computation agents
- Federated learning agents
- Compliance-aware agents
- Cross-organization agents
Phase 4: Marketplace-Ready Agents
- Monetizable agent templates
- Quality-assured agent patterns
- Versioned agent frameworks
- Enterprise-grade agent templates
- Industry-specific agent templates
2.4 Infrastructure & DevOps
Phase 1: Basic Infrastructure
- Docker Compose setup
- Local development environment
- Simple CI/CD pipeline
- Basic monitoring
- Development scripts
Phase 2: Edge & Multi-Modal Infrastructure
- Edge device provisioning
- Resource-optimized containers
- Multi-modal testing infrastructure
- Performance benchmarking
- Distributed testing
Phase 3: Enterprise & Federated Infrastructure
- Multi-tenant architecture
- Secure enclaves
- Compliance infrastructure
- Federated testing environment
- Enterprise deployment templates
Phase 4: Marketplace & Ecosystem Infrastructure
- Marketplace hosting
- Billing and payment processing
- Quality assurance pipeline
- Developer portal infrastructure
- Community infrastructure
3. Milestone Timeline
3.1 Phase 1: Core Platform (3-6 months)
Month 1-2: Foundation
- Project structure setup
- Core backend API implementation
- Basic workflow model
- Simple frontend prototype
- Docker agent runner
Month 3-4: Core Functionality
- Complete visual builder
- Workflow execution engine
- HITL implementation
- Logging and monitoring
- API and container agent adapters
Month 5-6: MVP Completion
- End-to-end testing
- Documentation
- Performance optimization
- Bug fixes and refinements
- MVP release
3.2 Phase 2: Multi-Modal & Edge (6-9 months)
Month 1-3: Multi-Modal Foundation
- Vision agent framework
- Audio agent framework
- Sensor data framework
- Multi-modal integration
- Visualization components
Month 4-6: Edge Capabilities
- Edge deployment framework
- Offline operation
- Resource optimization
- Synchronization mechanism
- Edge testing framework
Month 7-9: Advanced Features
- AR/VR interfaces
- Robotics integration
- Advanced visualization
- Edge security
- Multi-modal documentation
3.3 Phase 3: Enterprise & Federated (9-12 months)
Month 1-3: Federated Foundation
- Secure gateway
- Cross-organization workflows
- Access control
- Audit logging
- Secure data sharing
Month 4-6: Privacy & Compliance
- Federated learning framework
- Differential privacy implementation
- Zero-knowledge proofs
- Compliance modules
- Security enhancements
Month 7-9: Enterprise Features
- Multi-tenancy
- Enterprise authentication
- Advanced security
- Performance at scale
- Enterprise documentation
3.4 Phase 4: Marketplace & Ecosystem (6-9 months)
Month 1-3: Marketplace Foundation
- Agent registry
- Metadata schema
- Search and discovery
- Installation mechanism
- Developer tools
Month 4-6: Monetization & Quality
- Pricing models
- Billing system
- Revenue sharing
- Quality assurance framework
- Certification process
Month 7-9: Community & Governance
- Ratings and reviews
- Community features
- Governance framework
- Analytics and reporting
- Marketplace documentation
4. Technical Focus Areas
4.1 Core Platform Technologies
- Frontend: React, React Flow, TypeScript, Material UI
- Backend: FastAPI, Temporal.io, PostgreSQL
- Agents: Docker, REST APIs, Python scripts
- Infrastructure: Docker Compose, Kubernetes
- Monitoring: Prometheus, Grafana, OpenTelemetry
4.2 Multi-Modal Technologies
- Vision: OpenCV, TensorFlow, PyTorch, ONNX
- Audio: Librosa, Whisper, DeepSpeech
- Sensor Data: NumPy, Pandas, SciPy
- AR/VR: Three.js, Babylon.js, Unity
- Robotics: ROS, PyRobot
4.3 Edge Computing Technologies
- Edge Runtime: TensorFlow Lite, ONNX Runtime, PyTorch Mobile
- Offline Storage: SQLite, LevelDB, RocksDB
- Synchronization: Delta sync, conflict resolution
- Resource Optimization: Model quantization, pruning, distillation
- Edge Security: Secure boot, encryption, access control
4.4 Federated Technologies
- Secure Communication: TLS, mTLS, secure channels
- Privacy-Preserving Computation: Homomorphic encryption, secure multi-party computation
- Federated Learning: TensorFlow Federated, PySyft
- Differential Privacy: OpenDP, TensorFlow Privacy
- Zero-Knowledge Proofs: ZoKrates, Circom
4.5 Marketplace Technologies
- Registry: Metadata indexing, versioning
- Discovery: Search, recommendation algorithms
- Monetization: Billing, payment processing
- Quality Assurance: Automated testing, security scanning
- Analytics: Usage tracking, performance monitoring
5. Development Best Practices
5.1 Code Quality
- Follow consistent coding standards
- Write comprehensive tests
- Conduct regular code reviews
- Maintain documentation
- Use static analysis tools
5.2 Security
- Follow security best practices
- Conduct regular security reviews
- Implement proper authentication and authorization
- Encrypt sensitive data
- Follow the principle of least privilege
5.3 Performance
- Optimize for performance
- Conduct regular performance testing
- Monitor resource usage
- Implement caching where appropriate
- Use asynchronous processing for long-running tasks
5.4 Scalability
- Design for horizontal scaling
- Use stateless services where possible
- Implement proper database indexing
- Use message queues for asynchronous processing
- Design for multi-tenancy
5.5 Maintainability
- Follow modular design principles
- Document code and APIs
- Use semantic versioning
- Maintain a changelog
- Write migration scripts for breaking changes
6. Resources and References
6.1 Documentation
- Solo Builder's Playbook
- Multi-Modal Development Guide
- Edge Deployment Guide
- Federated Collaboration Guide
- Marketplace Development Guide
6.2 External Resources
- React Flow Documentation
- FastAPI Documentation
- Temporal.io Documentation
- TensorFlow Documentation
- PyTorch Documentation
- TensorFlow Federated Documentation
- OpenTelemetry Documentation
6.3 Community Resources
- GitHub Repository
- Developer Forum
- Discord Channel
- Monthly Developer Calls
- Quarterly Roadmap Reviews
This roadmap is a living document that will evolve as the platform grows. Regular updates will be made to reflect changing priorities, technologies, and market conditions.