Comprehensive guides for configuring and using GitFlow Analytics effectively.
Master the YAML configuration format with detailed examples covering:
- GitHub authentication and repository setup
- Organization-wide repository discovery
- Identity resolution and developer mapping
- Advanced analysis options and filters
- Report customization and output formats
Configure multiple project management platforms for ticket tracking:
- JIRA - Enterprise project management integration
- Linear - Modern issue tracking setup
- ClickUp - All-in-one productivity platform
- GitHub Issues - Native GitHub integration
- Multi-platform configuration and credential management
- Story point extraction and ticket coverage analysis
Enable machine learning features for intelligent commit classification:
- Install and configure spaCy language models
- Set up ML-powered commit categorization (85-95% accuracy)
- Customize classification categories and thresholds
- Monitor and improve model performance
Scale GitFlow Analytics across multiple repositories:
- Automatic repository discovery from GitHub organizations
- Bulk configuration for enterprise environments
- Cross-repository reporting and insights
- Performance optimization for large-scale analysis
Tailor reports to your team's needs:
- Choose output formats (CSV, JSON, Markdown, HTML)
- Custom report templates and branding
- Filter and focus analysis on specific areas
- Integration with other tools and dashboards
Enhance insights with AI-powered qualitative analysis:
- Set up OpenAI API integration
- Configure qualitative analysis parameters
- Generate deeper insights from commit patterns
- Balance cost with analysis depth
Solutions to common issues and problems:
- Installation and dependency issues
- GitHub API authentication problems
- Configuration validation errors
- Performance and memory optimization
- Error message explanations and fixes
Analyze a single repository → Configuration Guide → Repository Setup Section
Analyze my entire organization → Organization Setup → Organization Discovery
Track tickets from JIRA, Linear, or ClickUp → PM Platform Setup → Platform Configuration
Get better commit categorization → ML Categorization → Model Setup
Customize report formats → Report Customization → Output Formats
Fix configuration issues → Troubleshooting → Configuration Errors
Add AI insights → ChatGPT Setup → API Configuration
Solve authentication problems → Troubleshooting → GitHub API Issues
Optimize for large repositories → Configuration Guide → Performance Settings
- 🟢 Beginner: Configuration Guide, PM Platform Setup, Troubleshooting
- 🟡 Intermediate: Organization Setup, Report Customization
- 🔴 Advanced: ML Categorization, ChatGPT Integration
- Start Simple: Begin with basic configuration, add advanced features gradually
- Use Examples: Each guide includes working configuration examples
- Test Incrementally: Use
--validate-onlyflag to test configuration changes - Monitor Performance: Large analyses benefit from caching and batch processing
- Customize Gradually: Default settings work well; customize based on specific needs
- Getting Started - New user onboarding
- Examples - Real-world usage scenarios
- Reference - Technical specifications
- Architecture - System design details
Need help choosing where to start? Check the Getting Started section first!