Let’s get real: AI isn’t your enlightened sidekick—it’s a statistically supercharged parrot. It slurps up oceans of code (most of it garbage), then confidently regurgitates it like a toddler with a glue stick. And the kicker? It doesn’t just repeat bad patterns—it institutionalizes them. Congratulations, your buggy loop just became a global template.
-Want elegant abstraction? Keep dreaming.
-Want test coverage? Maybe.
-Want coherent architecture? LOL.

Why AI Repeats Bad Code

AI has zero taste. It doesn’t care if your loop is O(n²) or if your validation logic is held together with duct tape and dreams. It just wants to finish the sentence. The most likely continuation of bad code is… more bad code. And unlike interns, it doesn’t get better after three months.

AI: The Technical Debt Kingmaker

AI-generated code often “works”—until it doesn’t. It’s duct-tape engineering at scale. And if you don’t review it properly? You’re stacking quick fixes into a teetering tower of chaos. Next thing you know, your codebase smells like a foot and your users are filing support tickets in ALL CAPS.

Now, some of us (hi 👋) actually use AI daily—but here’s the plot twist: I know what I’m doing. When I ask AI to draft boilerplate or stub out a function, I’m not vibe-coding—I’m optimizing. I’m using AI like a scalpel, not a sledgehammer. There’s a difference between “accelerating development” and “speedrunning disaster.”

AI Security? Let’s All Laugh Together

AI doesn’t do security. It doesn’t even fake doing security. It’ll happily hand you:
-Unescaped inputs
-Hardcoded secrets
-Dependency suggestions that double as malware invitations

And if you ask it to fix the issues? It’ll hallucinate a library that doesn’t exist, wrap it in a try/catch, and call it a day.

From Garbage In, Garbage Tsunami Out

Let’s not forget: AI is now trained on AI-generated code. That means today’s questionable logic becomes tomorrow’s baseline. The technical term for this is a recursive descent into hell.

And the worst part? Developers start to trust the output. It “feels” right. Looks good. No red squiggles. Cool variable names. That’s vibe coding: trusting a feeling over fundamentals. It’s like writing production code based on a dream you once had in a hackathon.

Real Talk Wrap-Up

AI is a multiplier. Multiply smart? You’ll fly. Multiply stupid? You’ll crater.

The trick isn’t avoiding AI—it’s not being an idiot with it. Know what good code looks like. Know when to question. Know when to say, “Nah, I’ll write this part myself.”

Because yeah, I use AI every day. But I also know where to draw the line. And if you don’t? Enjoy your thousand lines of autogenerated doom. You didn’t write it, you just copy-pasted the explosion.