Bad Debugging vs Good Debugging: A Developer’s Guide

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Debugging is an essential skill for developers, yet many struggle with inefficient practices. Let’s break down the differences between bad and good debugging and explore best practices.

Bad Debugging Practices

  1. Excessive `console.log` Statements – Scattering logs without a strategy.
  2. No Reproducible Steps – Failing to isolate the issue.
  3. Blind Fixes – Applying random changes without understanding root causes.
  4. Ignoring Logs & Errors – Overlooking stack traces and system logs.
  5. No Version Control Checks – Not using `git bisect` to find bug origins.

Good Debugging Practices

  1. Structured Logging – Using frameworks like Winston (Node.js) or Log4j (Java).
  2. Reproducible Test Cases – Confirming bugs before fixes.
  3. Debugger Tools – Leveraging GDB (C/C++), pdb (Python), Chrome DevTools.
  4. Error Tracking – Integrating Sentry, Datadog, ELK Stack.
  5. Automated Testing – Writing unit/integration tests with Jest, PyTest, JUnit.

You Should Know: Debugging Commands & Tools

Linux Debugging Commands

 Check system logs 
journalctl -xe 
tail -f /var/log/syslog

Process debugging 
strace -p <PID>  Trace system calls 
ltrace -p <PID>  Trace library calls 
lsof -i :8080  Check open ports

Memory debugging 
valgrind --leak-check=full ./your_program

Windows Debugging Commands

 Event logs 
Get-EventLog -LogName Application -Newest 20

Process analysis 
tasklist /svc 
netstat -ano | findstr LISTENING

Debugging with WinDbg 
windbg -y SymbolPath -c "!analyze -v" your_dumpfile.dmp

Web Debugging (Chrome DevTools)

// Conditional breakpoints 
console.log({ var1, var2 }); 
debugger; // Pauses execution

// Network inspection 
fetch('https://api.example.com') 
.then(res => res.json()) 
.catch(err => console.error(err));

Git Bisect for Bug Hunting

git bisect start 
git bisect bad 
git bisect good <commit-hash> 
git bisect run ./test_script.sh

What Undercode Say

Debugging is not just fixing errors—it’s about understanding system behavior. Use structured logging, debuggers, and automated tests to minimize guesswork.

Advanced Debugging Tips

  • Kernel Debugging: Use `kgdb` for Linux kernel issues.
  • Reverse Debugging: Try `rr` (Mozilla’s reversible debugger).
  • Dynamic Analysis: Tools like GDB with Python scripting for exploit analysis.
  • Distributed Debugging: Use OpenTelemetry for microservices.

Expected Output:

A systematic approach to debugging reduces downtime and improves code quality. Master these tools to become a debugging expert.

Prediction

As AI-assisted debugging (GitHub Copilot, Amazon CodeGuru) grows, manual debugging will shift towards automated root-cause analysis, reducing developer workload.

References:

Reported By: Nk Systemdesign – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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