📦 deps(thirdparty): update snapshots
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# Bug-Type Playbooks
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Investigation focus and techniques by bug category.
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## Runtime Errors
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Crashes, exceptions, uncaught errors.
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**Investigation focus:**
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- Stack trace analysis (line, function, call chain)
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- Variable state at crash point
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- Input values that trigger crash
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- Environment differences (dev vs prod)
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**Common causes:**
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- Null/undefined access
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- Type mismatches
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- Array out of bounds
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- Missing error handling
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- Resource exhaustion
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**Techniques:**
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- Add try-catch with detailed logging
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- Validate assumptions with assertions
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- Check null/undefined before access
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- Log input values before processing
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## Logic Bugs
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Wrong result, unexpected behavior.
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**Investigation focus:**
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- Expected vs actual output comparison
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- Data transformations step by step
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- Conditional logic evaluation
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- State changes over time
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**Common causes:**
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- Off-by-one errors
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- Incorrect comparison operators
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- Wrong order of operations
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- Missing edge case handling
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- State not reset between operations
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**Techniques:**
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- Print intermediate values
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- Step through with debugger
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- Write test cases for edge cases
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- Check loop boundaries
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## Integration Failures
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API, database, external service issues.
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**Investigation focus:**
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- Request/response logging
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- Network traffic inspection
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- Authentication/authorization
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- Data format mismatches
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- Timing and timeouts
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**Common causes:**
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- API version mismatch
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- Authentication token expired
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- Wrong content-type headers
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- Data serialization differences
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- Network timeout too short
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- Rate limiting
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**Techniques:**
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- Log full request/response
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- Test with curl/httpie directly
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- Check API documentation version
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- Verify credentials and permissions
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- Monitor network timing
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## Intermittent Issues
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Works sometimes, fails others.
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**Investigation focus:**
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- What's different when it fails?
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- Timing dependencies
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- Shared state/resources
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- External conditions
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- Concurrency issues
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**Common causes:**
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- Race conditions
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- Cache inconsistency
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- Clock/timezone issues
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- Resource contention
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- External service flakiness
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**Techniques:**
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- Add timestamps to all logs
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- Run many times to find pattern
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- Check for async operations
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- Look for shared mutable state
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- Test under different loads
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## Performance Issues
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Slow, memory leaks, high CPU.
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**Investigation focus:**
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- Profiling and metrics
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- Resource usage over time
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- Algorithm complexity
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- Data volume scaling
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- Memory allocation patterns
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**Common causes:**
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- N+1 queries
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- Inefficient algorithms
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- Memory leaks (unreleased resources)
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- Excessive allocations
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- Missing indexes
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- Unbounded caching
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**Techniques:**
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- Profile with appropriate tools
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- Measure time/memory at checkpoints
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- Test with various data sizes
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- Check for cleanup in destructors
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- Monitor resource usage trends
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