Features

Comprehensive engineering metrics and insights

GitHub Analytics

Comprehensive PR and code analysis

  • →PR statistics and merge time analysis
  • →Code review process metrics
  • →Team collaboration insights
  • →Code quality indicators
  • →Bottleneck detection
  • →User contribution tracking
  • →Deployment frequency
  • →Lead time analysis
  • →Review cycle metrics
  • →Merge timing distribution
wellcode-cli analyze

# Output: Analyzing GitHub metrics...
✓ Core Metrics
  → PRs Created: 145
  → PRs Merged: 128
  → Deployment Frequency: 3.2/day
  → Median Lead Time: 4.5 hours

✓ Review Process
  → Avg Time to Review: 2.1 hours
  → Avg Reviewers per PR: 2.3
  
✓ Code Quality
  → Avg Changes: 142 lines
  → Hotfix Rate: 3.2%

Linear Integration

Track issues and team performance

  • →Issue tracking metrics
  • →Cycle time analysis
  • →Priority distribution
  • →Team workload insights
  • →Sprint performance
wellcode-cli analyze

# Output: Analyzing Linear metrics...
✓ Issue Statistics
  → Open issues: 45
  → Completed this week: 28

✓ Cycle Times
  → Average: 3.2 days
  → By priority:
    High: 1.5 days
    Medium: 3.8 days
    Low: 5.2 days

Split.io Integration

Feature flag analytics

  • →Feature flag usage patterns
  • →Environment distribution
  • →Change frequency analysis
  • →Impact assessment
  • →Error tracking
wellcode-cli analyze

# Output: Analyzing Split.io metrics...
✓ Feature Flags
  → Active flags: 32
  → Recent changes: 8
  → Usage patterns analyzed
  → Risk assessment complete

AI-Powered Insights

Intelligent analysis and recommendations

  • →Automated code review insights
  • →Performance optimization suggestions
  • →Process improvement recommendations
  • →Risk detection
  • →Trend analysis
wellcode-cli chat

🤖 AI Assistant: Based on recent metrics...

1. Code Review Insights:
   → Response times increased by 15
  → Suggested reviewers: @alice, @bob

2. Process Optimization:
   → Consider splitting large PRs
   → Add more automated tests