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Commit Classification

GitPulse uses AI-powered analysis to automatically categorize commits, providing insights into development focus and team priorities.

AI-Powered Commit Analysis

GitPulse analyzes commit messages and changes to automatically classify commits into meaningful categories, helping you understand what your team is working on.

Commit Classification
Commit Type Distribution

Commit Categories

Feature Development

Commits that add new functionality or features:

  • New Features: Brand new functionality
  • Feature Enhancements: Improvements to existing features
  • User Interface: UI/UX changes and improvements
  • API Extensions: New endpoints or API changes

What it tells you: - How much effort goes into new development - Whether the team is focused on growth - Product development velocity

Bug Fixes

Commits that address issues and problems:

  • Bug Fixes: Corrections to existing functionality
  • Hotfixes: Urgent fixes for critical issues
  • Regression Fixes: Fixes for recently broken features
  • Performance Fixes: Optimizations and speed improvements

What it tells you: - Code quality and stability - How much time is spent on maintenance - Whether new features are causing issues

Code Quality

Commits focused on improving code structure:

  • Refactoring: Code restructuring without changing behavior
  • Code Cleanup: Removing dead code and improving readability
  • Architecture Changes: Structural improvements
  • Technical Debt: Addressing accumulated issues

What it tells you: - Code maintenance practices - Technical debt management - Code quality focus

Testing

Commits related to testing and quality assurance:

  • Test Additions: New test cases and coverage
  • Test Fixes: Corrections to existing tests
  • Test Infrastructure: Testing framework improvements
  • Integration Tests: End-to-end testing

What it tells you: - Quality assurance practices - Test coverage priorities - Testing culture maturity

Documentation

Commits that improve project documentation:

  • README Updates: Project documentation improvements
  • API Documentation: Code documentation
  • User Guides: User-facing documentation
  • Technical Docs: Developer documentation

What it tells you: - Documentation practices - Knowledge sharing focus - Project maturity

Infrastructure

Commits related to deployment and infrastructure:

  • CI/CD Changes: Pipeline improvements
  • Deployment Updates: Release and deployment changes
  • Environment Config: Configuration management
  • DevOps Tools: Infrastructure automation

What it tells you: - DevOps maturity - Deployment practices - Infrastructure focus

Dependencies

Commits that update external dependencies:

  • Package Updates: Dependency version updates
  • Security Updates: Security-related dependency changes
  • New Dependencies: Adding new libraries
  • Dependency Cleanup: Removing unused dependencies

What it tells you: - Dependency management practices - Security awareness - Technical debt management

Key Ratios and Metrics

Feature-to-Fix Ratio

Measures the balance between new development and maintenance:

  • High Ratio (3:1+): Heavy focus on new features
  • Balanced Ratio (1:1-2:1): Good balance of features and fixes
  • Low Ratio (<1:1): More maintenance than new development

What it tells you: - Whether the team is growing or maintaining - Code stability and quality - Product development stage

Test Coverage Ratio

Measures the proportion of testing-related commits:

  • High Ratio (20%+): Strong testing culture
  • Medium Ratio (10-20%): Good testing practices
  • Low Ratio (<10%): Limited testing focus

What it tells you: - Quality assurance maturity - Risk management practices - Code confidence levels

Focus Ratio

Measures the balance between product work and infrastructure:

  • High Ratio (80%+): Heavy product focus
  • Balanced Ratio (60-80%): Good product/infrastructure balance
  • Low Ratio (<60%): More infrastructure than product work

What it tells you: - Team priorities and focus - Technical debt vs. feature development - Platform maturity

Troubleshooting

Common Issues

Poor Classification Accuracy

  • Cause: Unclear or inconsistent commit messages
  • Solution: Establish clear commit message guidelines

Missing Categories

  • Cause: Commits don't fit existing categories
  • Solution: Review and update classification rules

Inconsistent Ratios

  • Cause: Team not following commit standards
  • Solution: Provide training and establish guidelines

Getting Help

  • Team Guidelines: Establish clear commit standards
  • Training Sessions: Provide commit message training
  • Tool Integration: Use tools that improve commit quality
  • Regular Reviews: Discuss commit patterns regularly