Core FeaturesAI Issue Triage

AI Issue Triage

Automatic categorization and priority assignment

Last updated: June 12, 2024

AI Issue Triage

GitScope's AI-powered triage system automatically categorizes and prioritizes GitHub issues using advanced natural language processing.

How It Works

The AI triage system analyzes:

  • Issue titles and descriptions
  • Code snippets and error messages
  • Historical patterns from similar issues
  • User interaction patterns

Categories

Bug Reports

Automatically identifies:

  • Error descriptions and stack traces
  • Crash reports and exceptions
  • Performance issues
  • Regression reports

Feature Requests

Detects:

  • Enhancement proposals
  • New functionality requests
  • API suggestions
  • User experience improvements

Documentation

Recognizes:

  • Documentation gaps
  • Tutorial requests
  • API documentation needs
  • README improvements

Security Issues

Identifies:

  • Vulnerability reports
  • Security concerns
  • Privacy issues
  • Access control problems

Priority Levels

Critical

  • Security vulnerabilities
  • Data loss scenarios
  • Service outages
  • Breaking changes

High

  • Major functionality broken
  • Performance degradation
  • User-blocking issues

Medium

  • Minor bugs
  • Feature requests
  • Documentation updates

Low

  • Cosmetic issues
  • Nice-to-have features
  • Minor improvements

How AI Triage Works

GitScope uses advanced machine learning to automatically analyze your issues. The system:

  • Learns from patterns in your repository's issue history
  • Adapts to your project's specific terminology and context
  • Improves accuracy over time based on community feedback
  • Provides confidence scores for each classification

Monitoring & Feedback

Accuracy Metrics

Track triage accuracy with built-in metrics:

  • Classification precision
  • Priority accuracy
  • User feedback integration

Manual Override

  • Correct misclassified issues
  • System learns from corrections
  • Improved accuracy over time

Best Practices

  1. Regular Review: Check AI classifications weekly
  2. Feedback Loop: Correct misclassifications promptly
  3. Custom Rules: Add project-specific patterns
  4. Team Training: Ensure team understands categories

Viewing Analysis Results

Access AI triage results directly in the GitScope dashboard:

  • View classification results in the Issues section
  • See priority assignments and confidence scores
  • Track accuracy metrics and improvement over time

Troubleshooting

Low Accuracy

  • Add more training data
  • Review custom rules
  • Check for ambiguous issue descriptions

Missing Classifications

  • Verify repository sync
  • Check API rate limits
  • Review error logs

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