Implement Proactive Anomaly Detection System

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Description

Develop a proactive anomaly detection system that identifies potential issues before they impact the project:

1. **Multi-Dimensional Monitoring**
   - Code quality metrics tracking
   - Developer productivity patterns
   - System performance baselines
   - Project velocity analysis

2. **Anomaly Detection Models**
   - Statistical outlier detection
   - Time series analysis for trends
   - Unsupervised learning for patterns
   - Bayesian inference for prediction

3. **Early Warning Indicators**
   - Technical debt accumulation alerts
   - Team burnout risk identification
   - Feature completion delays prediction
   - Quality degradation warnings

4. **Intelligent Alerting**
   - Context-aware alert prioritization
   - Root cause hypothesis generation
   - Recommended remediation steps
   - Escalation rules for critical issues

5. **Predictive Analytics**
   - Forecast potential roadblocks
   - Identify at-risk project components
   - Predict resource bottlenecks
   - Estimate delivery timeline adjustments

The system should provide at least 24 hours warning for most significant issues.