A demonstration repository showcasing the capabilities of Hook Line Sinker (HLS) - an intelligent GitHub webhook monitoring service powered by Claude AI.
This repository serves as a practical example of how HLS can automate and enhance repository management through AI-powered webhook processing. It demonstrates:
- 🤖 Automated issue triage and labeling
- 🔍 Intelligent pull request reviews
- 📊 Workflow failure detection and analysis
- 🏷️ Smart label management
- 💬 AI-powered comment generation
- Issues are automatically analyzed and labeled based on content
- Priority assignment through AI analysis
- Smart categorization (bug, feature, documentation, etc.)
- Automated code review suggestions
- Risk assessment for changes
- Merge conflict detection and resolution guidance
- Real-time CI/CD failure analysis
- Performance bottleneck identification
- Automated fix suggestions
- Intelligent filtering of important events
- Context-aware alerts
- Customizable notification rules
hls-example-project/
├── .github/
│ ├── workflows/ # CI/CD workflows monitored by HLS
│ ├── ISSUE_TEMPLATE/ # Issue templates for different scenarios
│ └── pull_request_template.md
├── src/
│ ├── api/ # Sample API code
│ ├── utils/ # Utility functions
│ └── components/ # UI components
├── tests/ # Test suites
├── docs/ # Documentation
└── README.md
This repository includes intentionally crafted scenarios to showcase HLS capabilities:
- Issues with stack traces for AI analysis
- Performance degradation reports
- Security vulnerability disclosures
- User story formatting
- Technical specifications
- API enhancement proposals
- Breaking changes requiring careful review
- Performance optimizations
- Security patches
- Documentation updates
- Unit test failures
- Build errors
- Deployment issues
- Performance regressions
To connect this repository with HLS:
-
Configure Webhook
Settings → Webhooks → Add webhook Payload URL: https://your-hls-instance.com/webhook Content type: application/json Secret: [Your webhook secret] Events: Select all events -
Verify Connection
- Create an issue with title "Test HLS Integration"
- HLS should automatically analyze and respond
-
Monitor Activity
- Check HLS dashboard for webhook events
- Review AI-generated insights and actions
# Bug report
gh issue create --title "Application crashes on startup" --body "Stack trace: ..."
# Feature request
gh issue create --title "Add dark mode support" --body "As a user, I want..."
# Security issue
gh issue create --title "Potential XSS vulnerability" --body "Found in login form..."# Create feature branch
git checkout -b feature/test-hls
# Make changes and push
git add .
git commit -m "feat: Add new API endpoint"
git push origin feature/test-hls
# Create PR
gh pr create --title "Add user authentication" --body "Implements OAuth2..."HLS provides valuable metrics for this repository:
- Response Time: Average time to first AI response
- Accuracy: Percentage of correct labels/categorizations
- Automation Rate: Percentage of events handled automatically
- Developer Satisfaction: Time saved through automation
ai:
model: claude-3-opus
temperature: 0.7
rules:
auto_label: true
auto_assign: true
require_approval: false
notifications:
slack: true
email: falseThis is an example repository designed to showcase HLS capabilities. Feel free to:
- Create issues to test HLS responses
- Submit PRs to see AI code reviews
- Trigger workflow failures to test analysis
- Experiment with different webhook events
MIT License - This is an example project for demonstration purposes.
Because every webhook deserves the perfect catch