Feature Guides
Learn how to use Coderbuds' features to track team performance, analyze code quality, and improve your development workflow.
Deployments
Track deployment frequency, failure rates, and recovery times across all environments.
Environment Filtering
Filter deployments by production, staging, or test environments to focus on specific deployment stages.
Failure Tracking
Mark deployments as failures and link recovery deployments to track MTTR (Mean Time To Recovery).
Status Monitoring
Monitor deployment status in real-time: success, failed, in progress, with automatic updates.
PR Association
Automatically link deployments to related pull requests based on timing and Git history.
Pull Requests
Analyze code changes, review processes, and team collaboration patterns.
Repository Filtering
Filter pull requests by specific repositories to focus on individual projects or codebases.
Status Tracking
Monitor PR lifecycle: open, merged, closed, with detailed status information and timestamps.
AI-Powered Scoring
Get AI-generated quality scores based on code structure, documentation, and best practices.
Size Categorization
Automatically categorize PRs by size: tiny, small, medium, large, oversized for better review planning.
Team Metrics
Track individual and team performance with comprehensive development metrics.
PR Velocity
Track pull request creation rate and development velocity across team members and time periods.
Code Review Activity
Monitor code review participation, feedback quality, and review response times.
Quality Trends
Analyze code quality trends over time using AI-powered PR scoring and best practice adherence.
Deployment Participation
Track how team members contribute to deployments and release cycles.
Tips for Success
Filter & Focus
Use filters to focus on specific time periods, repositories, or team members to get targeted insights.
Track Trends
Look for patterns over time rather than individual data points to identify improvement opportunities.