debugging

Systematically isolate and fix code issues using structured debugging methodologies. Collect all relevant context about the issue: Error details : Environment : Create a minimal, reproducible example: Use binary search debugging to narrow down the issue: Print/Log debugging : Divide and conquer : Common bug patterns and solutions: Questions to ask : Apply the fix with proper verification: Fix checklist : Ensure the fix works and prevent regression: Error : Analysis : Symptom : Test passes locally, fails in CI intermittently Analysis : Tool : Use memory profiler - Covers six-step debugging workflow: information gathering, reproduction, isolation, root cause analysis, fix implementation, and verification - Includes common bug patterns (off-by-one, null references, race conditions, memory leaks, type mismatches) with targeted solutions - Provides debugging techniques: binary search isolation, print/log debugging, divide-and-conquer code elimination, and regression test patterns - Supports multiple languages with tool recommendations (pdb/cProfile for Python, Chrome DevTools for JavaScript, Delve for Go, etc.) - Encountering runtime errors or exceptions - Code produces unexpected output or behavior - Performance degradation or memory issues - Intermittent or hard-to-reproduce bugs - Understanding unfamiliar error messages - Post-incident analysis and prevention - Full error...