Are we now blind coding? 30% of AI-centric coding seems to be fixing everything that worked 5 minutes ago. The other 70% is debating if the AI is smarter than you.
Every day, I use AI to code, and every day, I’m reminded of one universal truth: AI is like that overconfident friend who insists they know a shortcut … but halfway there, you’re stuck in a ditch wondering why you ever listened.
AI tools are incredible at first. They write code like a wizard, and I’m left thinking, “Wow, this thing is going to replace me.” But then I dig in, and it’s like peeling back layers of an onion—except every layer smells slightly off. I always end up rolling up my sleeves and stepping in to fix it myself.
The scenic route to chaos…
I review all the code AI generates (because I value my sanity), and let me tell you … AI doesn’t just solve problems; it over-solves them. Simple task? AI’s got you covered with 300 lines of code and three new bugs you didn’t ask for. And if you ask it to “optimize,” it might improve performance … by deleting half the functionality you actually need. Fun times.
The rabbit hole of doom…
This is especially “fun” when the project is long and complex. Fix one bug? Congrats, you’ve just unlocked three more. At some point, it’s less about debugging and more about praying to the coding gods for mercy.
The learning curve (or lack thereof)…
The real kicker? If you don’t understand the code AI writes, you’re in for a wild ride. It’s like cooking with a recipe in a language you don’t speak: you can follow the steps, but if something goes wrong, you’re just guessing and hoping no one gets food poisoning. For those of us who grew up Googling “how to write a for loop,” this feels … deeply personal.
The paradox of progress…
Now, here’s the important part: this isn’t the worst it’s been, and it’s not the best it will be … let me repeat that …
This ISN’T the worst it’s been, and it’s NOT the best it will be … AI is ALWAYS evolving.
Today, it might feel like a rookie coder who thinks every solution needs recursion, but tomorrow, it’ll be the seasoned engineer who knows when to keep things simple. It’s easy to get frustrated when you’re stuck in the loop of debugging, but let’s not forget how far this technology has already come … and how much further it’s going to go.
In the meantime, it’s on us to stay sharp, keep learning, and embrace the partnership between humans and AI. Because one day, when AI stops taking the scenic route and starts building express lanes, we still need to be the ones making sure we are going in the right direction.
