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			- Add mock Hive API server providing fake projects/tasks for real bzzz coordination - Add comprehensive test suite with task simulator and coordination scenarios - Add real-time monitoring dashboard (btop/nvtop style) for coordination activity - Add antennae monitoring and logging infrastructure - Add systemd configuration scripts and deployment tools - Update pubsub message types for coordination requests and completion - Add Docker support and cluster deployment scripts 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
		
			
				
	
	
	
		
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🐝 Bzzz-Hive Integration TODOs
Updated: January 13, 2025
Context: Dynamic Multi-Repository Task Discovery via Hive API
🎯 HIGH PRIORITY: Dynamic Repository Management
1. Hive API Client Integration
- Create Hive API client
// pkg/hive/client.go type HiveClient struct { BaseURL string APIKey string HTTPClient *http.Client } func (c *HiveClient) GetActiveRepositories() ([]Repository, error) func (c *HiveClient) GetProjectTasks(projectID int) ([]Task, error) func (c *HiveClient) ClaimTask(projectID, taskID int, agentID string) error func (c *HiveClient) UpdateTaskStatus(projectID, taskID int, status string) error
2. Configuration Management
- 
Remove hardcoded repository configuration - Remove repository settings from main.go
- Create Hive API endpoint configuration
- Add API authentication configuration
- Support multiple simultaneous repository polling
 
- 
Environment/Config file support type Config struct { HiveAPI struct { BaseURL string `yaml:"base_url"` APIKey string `yaml:"api_key"` } `yaml:"hive_api"` Agent struct { ID string `yaml:"id"` Capabilities []string `yaml:"capabilities"` PollInterval string `yaml:"poll_interval"` } `yaml:"agent"` }
3. Multi-Repository Task Coordination
- Enhance GitHub Integration service
// github/integration.go modifications type Integration struct { hiveClient *hive.HiveClient repositories map[int]*RepositoryClient // projectID -> GitHub client // ... existing fields } func (i *Integration) pollHiveForRepositories() error func (i *Integration) syncRepositoryClients() error func (i *Integration) aggregateTasksFromAllRepos() ([]*Task, error)
🔧 MEDIUM PRIORITY: Enhanced Task Management
4. Repository-Aware Task Processing
- Extend Task structure
type Task struct { // Existing fields... ProjectID int `json:"project_id"` ProjectName string `json:"project_name"` GitURL string `json:"git_url"` Owner string `json:"owner"` Repository string `json:"repository"` Branch string `json:"branch"` }
5. Intelligent Task Routing
- Project-aware task filtering
- Filter tasks by agent capabilities per project
- Consider project-specific requirements
- Implement project priority weighting
- Add load balancing across projects
 
6. Cross-Repository Coordination
- Enhanced meta-discussion for multi-project coordination
type ProjectContext struct { ProjectID int GitURL string TaskCount int ActiveAgents []string } func (i *Integration) announceProjectStatus(ctx ProjectContext) error func (i *Integration) coordinateAcrossProjects() error
🚀 LOW PRIORITY: Advanced Features
7. Project-Specific Configuration
- Per-project agent specialization
- Different capabilities per project type
- Project-specific model preferences
- Custom escalation rules per project
- Project-aware conversation limits
 
8. Enhanced Monitoring & Metrics
- Multi-project performance tracking
- Tasks completed per project
- Agent efficiency across projects
- Cross-project collaboration metrics
- Project-specific escalation rates
 
9. Advanced Task Coordination
- Cross-project dependencies
- Detect related tasks across repositories
- Coordinate dependent task execution
- Share knowledge between project contexts
- Manage resource allocation across projects
 
📋 IMPLEMENTATION PLAN
Phase 1: Core Hive Integration (Week 1)
- Day 1-2: Create Hive API client and configuration management
- Day 3-4: Modify GitHub integration to use dynamic repositories
- Day 5: Test with single active project from Hive
- Day 6-7: Multi-repository polling and task aggregation
Phase 2: Enhanced Coordination (Week 2)
- Day 1-3: Repository-aware task processing and routing
- Day 4-5: Cross-repository meta-discussion enhancements
- Day 6-7: Project-specific escalation and configuration
Phase 3: Advanced Features (Week 3)
- Day 1-3: Performance monitoring and metrics
- Day 4-5: Cross-project dependency management
- Day 6-7: Production testing and optimization
🔧 CODE STRUCTURE CHANGES
New Files to Create:
pkg/
├── hive/
│   ├── client.go          # Hive API client
│   ├── models.go          # Hive data structures
│   └── config.go          # Hive configuration
├── config/
│   ├── config.go          # Configuration management
│   └── defaults.go        # Default configuration
└── repository/
    ├── manager.go         # Multi-repository management
    ├── router.go          # Task routing logic
    └── coordinator.go     # Cross-repository coordination
Files to Modify:
main.go                    # Remove hardcoded repo config
github/integration.go     # Add Hive client integration
github/client.go          # Support multiple repository configs
pubsub/pubsub.go          # Enhanced project context messaging
📊 TESTING STRATEGY
Unit Tests
- Hive API client functionality
- Multi-repository configuration loading
- Task aggregation and routing logic
- Project-aware filtering algorithms
Integration Tests
- End-to-end Hive API communication
- Multi-repository GitHub integration
- Cross-project task coordination
- P2P coordination with project context
System Tests
- Full workflow: Hive project activation → Bzzz task discovery → coordination
- Performance under multiple active projects
- Failure scenarios (Hive API down, GitHub rate limits)
- Escalation workflows across different projects
✅ SUCCESS CRITERIA
Phase 1 Complete When:
- Bzzz agents query Hive API for active repositories
- Agents can discover tasks from multiple GitHub repositories
- Task claims are reported back to Hive system
- Configuration is fully dynamic (no hardcoded repositories)
Phase 2 Complete When:
- Agents coordinate effectively across multiple projects
- Task routing considers project-specific requirements
- Meta-discussions include project context
- Performance metrics track multi-project activity
Full Integration Complete When:
- System scales to 10+ active projects simultaneously
- Cross-project coordination is seamless
- Escalation workflows are project-aware
- Analytics provide comprehensive project insights
🔧 IMMEDIATE NEXT STEPS
- Create Hive API client (pkg/hive/client.go)
- Implement configuration management (pkg/config/config.go)
- Modify main.go to use dynamic repository discovery
- Test with single Hive project to validate integration
- Extend to multiple repositories once basic flow works
Next Action: Implement Hive API client and remove hardcoded repository configuration from main.go.