Prompt

Sophisticated debugging workflows using multiple analysis techniques:

**Multi-Level Debugging Strategy:**
- Combine log analysis, code tracing, and performance profiling
- Use browser DevTools integration for frontend debugging
- Implement remote debugging for production issues
- Create debugging workflows for different environments

**Automated Issue Detection:**
- Set up automated error detection and reporting
- Implement anomaly detection for performance issues
- Create automated log analysis and pattern recognition
- Design proactive issue identification and alerting

**Advanced Profiling Techniques:**
- CPU and memory profiling with flame graphs
- Database query profiling and optimization
- Network request analysis and optimization
- Frontend performance profiling with Core Web Vitals

**Debugging Tool Integration:**
- Configure advanced debugger settings and breakpoints
- Set up remote debugging for mobile and embedded systems
- Implement distributed tracing for microservices
- Create custom debugging tools and utilities

**Issue Resolution Automation:**
- Create automated fix suggestions based on error patterns
- Implement rollback and recovery procedures
- Design issue escalation and notification workflows
- Set up post-mortem analysis and learning capture

**Example Debugging Operations:**
```bash
# Node.js debugging with inspector
node --inspect-brk=0.0.0.0:9229 app.js
# Memory heap analysis
node --expose-gc --inspect app.js
# Frontend performance profiling
lighthouse http://localhost:3000 --output=json --output-path=./audit.json
# Log analysis with filters
grep -E "(ERROR|FATAL)" app.log | tail -100
```

Provide systematic debugging approaches with tool integration and automation.