From Bug Nightmare to Code Dream: How ChatGPT Became My Virtual Exterminator
sakethk

sakethk @sakethkowtha

About: Computer jock, Programmer, Technology enthusiast and Math ❤️ er.

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From Bug Nightmare to Code Dream: How ChatGPT Became My Virtual Exterminator

Publish Date: May 7
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The Day My Code Turned Against Me

Picture this: It's 3 AM, I'm on my fifth cup of coffee, and my codebase looks like it's been through a blender. Bugs are popping up faster than I can squash them, and my sanity is hanging by a thread thinner than my remaining hair. Sound familiar? If you're a developer, you're probably nodding so hard your neck hurts.

But fear not, fellow code warriors! I'm about to share a tale of redemption, featuring an unlikely hero: ChatGPT, the AI language model that went from "that thing everyone's talking about" to my personal bug-busting sidekick.

Enter ChatGPT: My Digital Rubber Duck on Steroids

Now, I know what you're thinking. "Another AI hype story? Give me a break!" But hang tight, because this isn't your typical "AI solved all my problems" fairy tale. This is a nitty-gritty, honest account of how I used ChatGPT to tackle over 100 bugs in my codebase, complete with the good, the bad, and the occasionally hilarious.

Step 1: Admitting I Had a Problem

The first step was admitting that my code was messier than my room during finals week. I had a project that started as a "quick MVP" and somehow morphed into a Frankenstein's monster of spaghetti code, held together by duct tape and prayers.

Step 2: Enlisting My AI Sidekick

I'd played around with ChatGPT before, mostly asking it to write haikus about JavaScript (don't judge). But desperate times call for desperate measures, so I decided to see if it could help me with my bug infestation.

Here's how I approached it:

  1. Bug Triage: I made a list of all the bugs I could find, ranging from "minor annoyance" to "oh god, why is everything on fire?"

  2. Context is King: For each bug, I gave ChatGPT a rundown of:

    • The expected behavior
    • The actual (broken) behavior
    • Relevant code snippets
    • Error messages (if any)
  3. Ask Smart Questions: Instead of just saying "fix this," I asked things like:

    • "What could be causing this behavior?"
    • "Are there any common pitfalls that might lead to this issue?"
    • "Can you suggest a debugging strategy for this problem?"

The Good: When ChatGPT Became My Code Whisperer

Let me tell you, there were moments when ChatGPT felt like a mind reader. Here are some wins:

1. The Case of the Mysterious Memory Leak

I had a nasty memory leak that was making my app slower than a sloth on sleeping pills. I shared the relevant code with ChatGPT, and it pointed out that I was accidentally creating new event listeners on every render without removing the old ones. Facepalm moment, but an easy fix once spotted!

2. Async Await Avalanche

My async/await code was a mess, with promises resolving in the wrong order and causing chaos. ChatGPT helped me restructure my async flow, explaining the concept of promise chaining in a way that finally made it click for me.

3. The Great Refactoring

ChatGPT didn't just help with bugs; it became my refactoring buddy. I'd show it a clunky function, and it would suggest cleaner, more efficient ways to structure the code. It was like pair programming with a partner who never gets tired or hungry (though I did both, frequently).

The Bad: When AI Meets "It Works on My Machine"

Of course, it wasn't all smooth sailing. ChatGPT had its moments of... let's call them "creative interpretation."

1. The Framework Fumble

There were times when ChatGPT suggested solutions that would have been perfect... if I was using a completely different framework. Lesson learned: Always specify your tech stack upfront!

2. The Overengineering Olympics

Occasionally, ChatGPT would propose fixes that were like using a flamethrower to light a candle. Sure, it would work, but at what cost? I had to learn to ask for simpler solutions when appropriate.

3. The Contextual Conundrum

ChatGPT doesn't have the full context of your project, so sometimes its suggestions would conflict with existing architecture or business logic. Always double-check before implementing!

The Funny: AI-Powered Comedy Gold

Look, debugging is serious business, but sometimes you need to laugh to keep from crying. Here are some moments that had me chuckling:

  1. ChatGPT once suggested I fix a bug by "adding more cowbell to the function." I'm pretty sure it was joking, but part of me was tempted to try it.

  2. When I typo'd "bug" as "hug," ChatGPT gave me a heartwarming pep talk about the importance of self-care during stressful coding sessions. Not what I asked for, but honestly? I needed that.

  3. In a sleep-deprived state, I pasted in some of my grocery list instead of code. ChatGPT valiantly attempted to debug my shopping habits, suggesting I "optimize my milk consumption algorithm."

The Results: From Bug City to Smooth Sailing

After weeks of back-and-forth with my AI companion, the results were in:

  • 103 bugs squashed
  • Code efficiency improved by roughly 30%
  • My caffeine intake reduced by 50% (okay, maybe 20%)
  • One developer (me) saved from pulling out all his hair

Lessons Learned: Tips for Your Own AI Bug-Busting Adventure

  1. Be Specific: The more details you provide, the better ChatGPT's suggestions will be.

  2. Verify and Test: Always, ALWAYS test the suggestions before implementing them in your main codebase.

  3. Use ChatGPT as a Starting Point: Often, its suggestions would point me in the right direction, even if they weren't the final solution.

  4. Keep Learning: Don't just copy-paste. Try to understand the why behind the fixes.

  5. Have Fun With It: Debugging doesn't have to be a chore. Embrace the occasional silly moment!

Conclusion: The Future is Here, and It's Debugging Your Code

So, there you have it. My journey from drowning in bugs to swimming in clean code, all with a little help from an AI friend. Is ChatGPT perfect? Nope. Is it a replacement for good old-fashioned developer know-how? Absolutely not. But as a tool in your coding toolkit? It's pretty darn awesome.

Next time you're staring at a screen full of red squiggly lines, why not give ChatGPT a shot? Who knows, you might just find your new favorite rubber duck.


If you enjoyed this bug-squashing saga, follow me for more tales from the coding trenches. I promise my next post will have 50% more semicolons and at least one Star Wars reference. May the forsee be with you! 🖖 (Wait, wrong franchise...)

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