Trust but Verify:

Why Your Coding Skills Still SLAP in the Age of GenAI

Alright, fam, let’s spill the tea. Everyone’s vibing about GenAI coding tools, and some are even saying, “Is learning to code even a thing anymore?” Hold up, pause. According to a recent Chalk Radio podcast sesh with host Sarah Hansen and coding queen Ana Bell (programmer, author, AND comp-sci prof – talk about a triple threat!), the answer is a big, fat “Trust but Verify.” And honestly? It’s the only way to roll if you don’t want AI to straight-up finesse you.

AI’s Got Drip, But It Ain’t Perfect 💧😬

Ana Bell, who’s deep in the coding game, keeps it : Yeah, she uses Generative AI (GenAI) tools. They can be super helpful for getting started. But – and this is a big “but” – these AI sidekicks can totally fumble the bag, especially with the tricky stuff like math or complex programming logic. Even for what seems like simple tasks, AI can serve up some Ls. No cap.

Your Brain Cells? Still the GOAT 🧠🏆

This is where your human smarts, your actual coding knowledge, come in to clutch the win.

• You Call the Shots: Knowing how to code means you can take what AI spits out and actually understand it. It’s a starting point, not the finished masterpiece.
• Bug Squashing Pro: More importantly, when AI inevitably makes a whoopsie (and it will), your skills let you spot those errors, debug ’em, and fix ’em yourself. Ana Bell straight-up said it’s often easier and faster for her to fix AI’s mistakes directly than to try and re-explain it to the AI like it’s a toddler who just won’t listen. Big mood.

Lost in Translation: AI’s Chat Game Ain’t Always Strong 🤖💬

Think about it: trying to get AI to fix its own code by just re-prompting can be a whole vibe check fail.

• AI’s Guessing Game: These tools are basically playing a high-stakes game of “guess the next word.” They’re probabilistic, meaning they pick what seems most likely. That doesn’t always mean it’s correct or what you actually need.
• Error Stacking: One little misunderstanding can lead to another, and suddenly your code is a hot mess express. Trying to explain nuances to AI? Good luck, it can easily get confused.

Why Learning to Code is Still a Power Move 💪✨

So, what’s the real value of grinding out those coding lessons when AI is in the chat?

• You’re the Verifier: You’re not just blindly copy-pasting. You have the power to check AI’s work. Is it secure? Is it efficient? Does it even do what you asked? That’s on you, chief.
• AI as Your Intern, Not Your Boss: Use GenAI to draft the basics, to beat that blank-page anxiety. Then, you step in with your expertise to refine, test, and make sure that code is actually, y’know, good.

The Human Element: You’re Irreplaceable, Period. 🧑‍💻🔥

Sarah and Ana were on the same wavelength here: that “verify” part? That’s the human sauce. If you just let AI cook without any checks and balances, you’re playing a risky game. You lose your self-reliance, and you’re way more likely to get led down a buggy, error-filled rabbit hole. Not the flex you want.

The Takeaway: AI is a Tool, You’re the Artisan 🛠️

Look, AI coding tools are pretty sick, and they’re here to stay. They can definitely speed things up and help you out. But thinking they’re a replacement for actual, solid programming knowledge? That ain’t it. A deep understanding of coding is what lets you use these AI tools effectively, catch their mistakes, and ultimately build stuff that truly slaps.

So, keep learning, keep coding, and always remember: Trust the AI to help, but verify its work like your career depends on it… because it kinda does.