GitIgnore Analyzer
Analyze your .gitignore file for optimization opportunities, redundant patterns, conflicts, and performance issues. Get professional insights to improve your repository's ignore rules.
.gitignore Content to Analyze
Understanding Analysis Results
Quality Score
The quality score (0-100) reflects how well-optimized your .gitignore file is. Higher scores indicate fewer issues and better organization.
Pattern Complexity
Complexity measures how computationally expensive a pattern is for Git to process. Lower complexity generally means faster performance.
Issue Severity
- • High: Critical issues that may cause problems
- • Medium: Optimization opportunities
- • Low: Style and organization suggestions
Comprehensive Analysis Features
🔍 Redundancy Detection
Identifies overlapping and redundant patterns that can be simplified or removed for cleaner code.
⚡ Performance Analysis
Analyzes pattern complexity and suggests optimizations for faster Git operations.
🚨 Conflict Detection
Finds contradictory patterns and negation conflicts that might cause unexpected behavior.
📊 Pattern Statistics
Provides detailed statistics about pattern types, complexity, and effectiveness.
🎯 Optimization Suggestions
Offers specific recommendations to improve pattern efficiency and maintainability.
🏷️ Pattern Classification
Categorizes patterns by type, technology, and purpose for better organization.
Common Issues We Detect
Performance Problems
- • Over-complex wildcard patterns that slow down Git
- • Redundant recursive patterns like `**/**/*.log`
- • Inefficient pattern ordering affecting matching speed
- • Unnecessary deep directory traversal patterns
Logic Conflicts
- • Patterns that contradict each other (ignore vs negation)
- • Overlapping patterns that make rules unclear
- • Ineffective negation patterns that don't work as expected
- • Missing patterns for common file types in your project
Best Practices We Enforce
📝 Organization
- • Group related patterns together
- • Use clear section comments
- • Order patterns by specificity
⚡ Performance
- • Minimize complex wildcards
- • Place common patterns first
- • Avoid redundant patterns
🎯 Effectiveness
- • Use specific patterns when possible
- • Test negation patterns carefully
- • Document complex rules