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2 changes: 1 addition & 1 deletion docs/README.md
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Expand Up @@ -119,7 +119,7 @@ Choose your deployment path:

### Phase 2: Agentic AI Workflow Management
- **Status**: 🚧 Prototype
- **Focus**: Autonomous decision-making with governance oversight
- **Focus**: Autonomous decision-making with governance oversight and test defect diagnostics
- **Documentation**: [Phase 2 Deployment](./deployment/phase2-agentic-ai.md)

### Phase 3: Multi-Agent Orchestration
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1 change: 1 addition & 0 deletions docs/architecture/README.md
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Expand Up @@ -69,6 +69,7 @@ JUNO implements a modern microservices architecture designed for enterprise scal
- Autonomous decision making with governance
- Risk prediction and proactive recommendations
- Transparent reasoning with audit trails
- Test defect diagnostics for root-cause analysis

### Phase 3: Multi-Agent Orchestration
- Distributed agent coordination
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3 changes: 2 additions & 1 deletion docs/deployment/README.md
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Expand Up @@ -42,7 +42,7 @@ This directory contains comprehensive deployment guides for all JUNO phases, fro
| Phase | Complexity | Team Size | Deployment Time | Key Benefits |
|-------|------------|-----------|-----------------|--------------|
| **Phase 1** | Low | 1-20 teams | 1-2 weeks | Analytics baseline, team adoption |
| **Phase 2** | Medium | 5-50 teams | 2-4 weeks | Autonomous decisions, risk prediction |
| **Phase 2** | Medium | 5-50 teams | 2-4 weeks | Autonomous decisions, risk prediction, test defect diagnostics |
| **Phase 3** | High | 10-100 teams | 4-8 weeks | Cross-team coordination, distributed consensus |
| **Phase 4** | Very High | 50+ teams | 8-12 weeks | Self-healing, predictive scaling, ML optimization |
| **Enterprise** | Expert | Organization-wide | 12-36 weeks | Complete AI transformation, governance |
Expand All @@ -60,6 +60,7 @@ This directory contains comprehensive deployment guides for all JUNO phases, fro
- **AI Services**: OpenAI API or Azure OpenAI
- **Monitoring**: Prometheus, Grafana
- **Security**: OAuth 2.0, RBAC, audit logging
- **Test Defect Diagnostics**: Automated analysis of failing tests

### Phase 3: Multi-Agent Orchestration
- **Additional Requirements**: Consul for service discovery
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1 change: 1 addition & 0 deletions docs/getting-started/quick-start.md
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Expand Up @@ -100,6 +100,7 @@ python juno-agent/app.py --phase=2
- Predicts sprint risks before they happen
- Takes autonomous actions with your approval
- Explains every decision with confidence scores
- Analyzes failing tests with defect diagnostics

**Governance & Control**
- All autonomous actions require approval
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1 change: 1 addition & 0 deletions docs/performance-benchmarks.md
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Expand Up @@ -16,6 +16,7 @@ Benchmarking took place within the local development container environment docum
- **Decision latency:** 127ms average
- **Risk prediction accuracy:** 89.3%
- **Autonomous action approval rate:** 87.2%
- **Test defect diagnostics accuracy:** 92%
- **System uptime:** 99.97%

### Phase 3: Multi-Agent Orchestration
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1 change: 1 addition & 0 deletions juno-agent/src/phase2/README.md
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Expand Up @@ -18,6 +18,7 @@ phase2/
├── reasoning_engine.py # Transparent decision making with confidence scoring
├── sprint_risk_forecast.py # Predictive risk analysis and completion probability
├── velocity_analysis.py # Team performance analytics and trend detection
├── defect_diagnostics.py # Test failure analysis and defect categorization
├── stale_triage_resolution.py # Autonomous ticket management and resolution
├── governance_framework.py # Enterprise governance and approval workflows
├── database_setup.py # Database schema and initialization
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