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Eleftheria Batsou
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How I Cut My Debugging Time in Half as a Front-End Developer (A Practical Guide)

Debugging is one of those things every developer secretly knows eats up far more time than we’d like to admit. Some studies estimate that up to 50% of a developer’s time is spent tracking down bugs, deciphering cryptic console messages, jumping between tools, and trying to figure out why something worked five minutes ago but doesn’t now.

In my recent article, AI Fluency: Build Smarter Code, I explored how modern AI tools can elevate your coding workflow. But there’s an equally important part of developer productivity that often gets ignored:

Debugging isn’t separate from development - it is development.

And yet, we rarely talk about strategies or tools that make debugging easier.

So in this article, I’m focusing entirely on the debugging workflow: the mistakes that slow us down, the simple habits that speed things up, and a new tool I’ve been using that surprised me with how much visibility it gives into runtime errors.

🌐 The Front-End Debugging Struggle

If you're building with JavaScript, React, or Next.js, your debugging workflow probably looks something like this:

  • You see an error in Chrome DevTools
  • You hop into VS Code to search for the source
  • You go back to DevTools to inspect the network response
  • Then back to VS Code
  • Then back to DevTools (again)

And somewhere in between all of this, you add a handful of console.log() statements.

It works… eventually. But it’s far from efficient.

🧩 Common Debugging Mistakes (We All Make Them)

Here are a few patterns I see repeatedly - in my own work and in the teams I collaborate with:

1. Reloading instead of inspecting
We refresh the page without actually examining stack traces or component boundaries.

2. Misreading error messages
Many runtime errors do point you in the right direction - you just need to know what to look for.

3. Ignoring the Network tab
A surprising number of UI bugs are caused by failed or malformed API responses.

4. Debugging deployed builds without visibility
Production builds are optimized and minified, which makes tracing root causes even harder.

Fortunately, small workflow improvements can solve most of these.

⚑ A Simple Framework for Debugging Faster

Over time, I’ve found it helpful to follow a consistent repeatable process:

1. Reproduce the bug
If you can’t reproduce it, you can’t fix it.

2. Isolate
Is it the component? The API? The data shape? The side effect?

3. Inspect
Use DevTools, breakpoints, and network traces before making code changes.

4. Patch
Make the smallest possible change.

5. Validate
Ensure the fix works in multiple states.

These steps alone can drastically reduce debugging time.

But recently, I started experimenting with a new tool that brings all of this information into one place.

πŸ” A New Tool That Helped Me: theORQL

I’ve been trying a tool called theORQL, which runs directly inside Chrome and automatically captures:

  • Runtime errors
  • Console logs
  • Network failures

It then explains the probable root cause and proposes code fixes. What surprised me most is that any accepted fix syncs directly to VS Code - no copy/pasting between tools.

I didn’t expect it to become part of my workflow, but having all debugging surfaces unified in one view made the process feel less fragmented.

To be clear: debugging still requires thinking, patience, and context. No tool replaces that. But tools can shine a light on where bugs occur and reduce the time spent hunting for them.

And in front-end development, that alone can save hours.

πŸš€ Example: Catching a Runtime Error More Easily

Here’s a typical scenario:

  • A component fails due to an undefined property
  • The console shows the error, but not the deeper context
  • You hop to your editor to find the function that triggered it
  • You go back to the browser to reproduce it

With theORQL, the flow looked like this instead:

  1. The runtime error popped up in a dedicated debugging panel.
  2. The explanation highlighted the line of code and the likely cause.
  3. A proposed patch showed how to guard against the undefined state.
  4. I accepted the patch and synced it to VS Code.

That alone removed three full cycles of context switching.

🎯 Final Thoughts

Debugging doesn’t have to be frustrating or time-consuming. Small workflow improvements add up, and exploring new tools can reveal simpler paths through complex problems.

If you’ve read my article on AI Fluency: Build Smarter Code, consider this article the natural extension: after all, writing code is only half the story. Understanding, inspecting, and fixing it is the other half.

And the better your debugging toolkit - whether it’s breakpoints, network inspection, or tools like theORQL - the smoother your development journey becomes.

Happy debugging! πŸ› οΈ

Top comments (71)

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r_vantwisk_2f2fb216ebc2 profile image
R. van Twisk

It's not so much debugging my own code, but more like understanding what new change has been made to an upstream library without telling me. Good unit and IT tests help. But for crying out load, console.log was used in1998, today we place a breakpoint if we have to. If you cannot because your framework sucks, then ad a 'debugger' statement.

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eleftheriabatsou profile image
Eleftheria Batsou

Thanks you

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eleftheriabatsou profile image
Eleftheria Batsou

Thanks for sharing your thoughts.

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rokoss21 profile image
rokoss21

Great breakdown. One thing that stands out here is that the biggest time savings don’t come from β€œsmarter fixes,” but from making failure observable earlier.

Most debugging pain I’ve seen isn’t caused by hard bugs, but by systems that weren’t designed to be inspected from the outside. When logs, network traces, and runtime signals are treated as first-class outputs, debugging becomes a reasoning exercise instead of a guessing game.

Your 5-step loop works especially well when the system itself cooperates β€” clear boundaries, stable data shapes, and predictable execution paths reduce the need for hero debugging later. Tools can help, but the real multiplier is designing code so future-you (or someone else) can understand it under pressure.

Solid, practical write-up.

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eleftheriabatsou profile image
Eleftheria Batsou

Thank you so much for you comment and sorry it took me so long to reply. 😊
I'm working on this concept more and more. I recently did this video about AI debugging and soon I'm planning to create more content about it.

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nflow profile image
nFlow

Super insightful! Thank you!

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eleftheriabatsou profile image
Eleftheria Batsou

Thank you so much for you comment and sorry it took me so long to reply. 😊
I'm working on this concept more and more. I recently did this video about AI debugging and soon I'm planning to create more content about it.

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kaibanchu profile image
Phan XuΓ’n HαΊ£o

Great, I love it

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eleftheriabatsou profile image
Eleftheria Batsou

Thank you so much for you comment and sorry it took me so long to reply. 😊
I'm working on this concept more and more. I recently did this video about AI debugging and soon I'm planning to create more content about it.

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madza profile image
Madza

Great, practical tips right here! πŸ‘πŸ’―

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eleftheriabatsou profile image
Eleftheria Batsou

Thank you Madza! theORQL has been very helpful!

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aloisseckar profile image
Alois SečkΓ‘r • Edited

I was recently surprisingly effective with just asking AI chatbot "I am getting XY error message. What can be wrong?" Even if it didn’t guess the real reason correctly, it pointed me just the right way.

But yea - having a solid system ready at your service is even better. Thanks for the tips.

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eleftheriabatsou profile image
Eleftheria Batsou

AI is definitely getting better and better. We're also probably getting a bit better at prompting... But having a solid system wins every time.

Thanks for checking the article.

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shahrouzlogs profile image
Shahrouz Nikseresht

Really solid breakdown! ⚑

Debugging can easily eat half a developer’s day, and posts like this help reduce that pain.

Your practical tips around structuring console output and using browser devtools more intentionally are super helpful.

Thanks for sharing such actionable frontend advice! πŸ™Œ

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eleftheriabatsou profile image
Eleftheria Batsou

My pleasure, I'm glad I could help!

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itsugo profile image
Aryan Choudhary

Really liked this breakdown, especially the part about debugging being development, not something separate. I’m still shaping my own workflow, and the constant context switching between DevTools β†’ VS Code β†’ browser is exactly where I lose most of my time.

The 5-step framework was super clear too. I’ve been trying to get more intentional about β€œinspect before you patch,” so this landed well.

theORQL looks interesting, I hadn’t seen a tool that pulls runtime errors and network failures into one place and syncs fixes back to VS Code. Might try it on my next project just to see how much friction it removes.

Thanks for writing this, really helpful perspective on a part of dev we don’t talk about enough.

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eleftheriabatsou profile image
Eleftheria Batsou

Thank you for your comment and reading the article. Do try theORQL and let me know your thoughts πŸ’­

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monahidalgo profile image
Mona Hidalgo

Good read. I think I will look into theORQL. In fact, I’m building a plugin for all JetBrains IDE’s that has an AI INSIGHTS tab and it catches bottlenecks and more in rules I have designed into the plugin. Since, I haven’t used VS or VS CODE much in my work this theQRQL seems exciting to learn about and to use. Debugging is so interesting to do and it part of our work in coding. Nice tips you have shared.

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eleftheriabatsou profile image
Eleftheria Batsou

Yes! Let me know if you use it and like it.

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andrewbaisden profile image
Andrew Baisden

Good workflow, super insightful!

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eleftheriabatsou profile image
Eleftheria Batsou

Thank you Andrew... And yeah, it took me a while to standardize it as new tools are popping up literally every day.

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