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Eden, explain the technical_debt_estimator_1765546465 capability
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This capability handles Quantifies and prioritizes technical debt remediation. Here's the implementation:

```python
import logging
from typing import Dict, List, Optional
from datetime import datetime

class TechnicalDebtEstimator:
    """
    Estimates and manages technical debt for code review systems.
    
    Attributes:
        project_name: Name of the project being evaluated
        sages_count: Number of SAGEs participating in the estimation
        issues_count: Total open issues identified
        estimates: Dictionary of issue IDs to their estimated complexities (1-5)
        team_feedback: List of team member comments/suggestions
        last_updated: Timestamp of the last modification
    """
    
    def __init__(self, project_name: str):
        self.project_name = project_name
        self.sages_count: int = 0
        self.issues_count: int = 0
        self.estimates: Dict[int, float] = {}
        self.team_feedback: List[str] = []
        self.last_updated: datetime = datetime.now()
        
    def add_issue(self, issue_id: int, description: str) -> None:
        """
        Adds a new technical debt issue to the estimator.
        
        Args:
            issue_id: Unique identifier for the issue
            description: Description of the issue
        """
        self.issues_count += 1
        default_estimate = 3.0  # Default complexity level
        self.estimates[issue_id] = default_estimate
        
    def estimate_complexity(self, issue_id: int, complexity: float) -> None:
        """
        Updates the estimated complexity of an existing issue.
        
        Args:
            issue_id: Unique identifier for the issue
            complexity: Complexity score between 1-5
        """
        if issue_id in self.estimates:
            self.estimates[issue_id] = complexity
            logging.info(f"Updated complexity of {issue_id} to {complexity}")
        else:
            logging.warning(f"Issue {issue_id} not found for estimation")
    
    def provide_feedback(self, feedback: str) -> None:
        """
        Adds team member feedback/suggestions
```

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