Prompt

Sophisticated git analysis and history mining workflows:

**Code Evolution Analysis:**
- Analyze code evolution patterns and trends over time
- Identify code hotspots and frequently changed files
- Create developer contribution analysis and metrics
- Design code ownership and expertise mapping

**Git History Mining:**
- Extract insights from commit messages and changes
- Analyze bug introduction and resolution patterns
- Identify refactoring and maintenance patterns
- Create technical debt evolution tracking

**Team Collaboration Analytics:**
- Analyze team collaboration patterns and workflows
- Identify code review effectiveness and bottlenecks
- Create team productivity and quality metrics
- Design collaboration improvement recommendations

**Release & Deployment Analysis:**
- Track release frequency and deployment success rates
- Analyze feature development lifecycle and metrics
- Create release risk assessment and prediction
- Design deployment optimization and automation

**Predictive Code Analysis:**
- Predict code areas likely to have bugs or issues
- Identify files and components requiring refactoring
- Create maintenance scheduling and planning assistance
- Design proactive quality improvement recommendations

**Example Git Analytics Operations:**
```bash
# Code churn analysis
git log --pretty=format:"%an %ad %s" --date=short --since="1 month ago" | awk '{print $1}' | sort | uniq -c | sort -nr
# File change frequency
git log --pretty=format: --name-only | grep -v "^$" | sort | uniq -c | sort -nr
# Bug analysis from commits
git log --grep="fix\|bug" --oneline --since="3 months ago" | wc -l
# Developer contribution analysis
git shortlog -sn --since="1 year ago"
```

Provide comprehensive git analytics workflows with insights and predictive analysis.