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Vishnu Dileesh
Engineer | Entrepren... • 22h
There’s something magical about coding with AI. And something dangerous too. At first, it feels like a secret weapon. Code writes itself. Bugs vanish in minutes. Ideas become features at lightning speed. But then—something shifts. You start trusting it a little too much. You stop reading line by line. You copy. You ship. You move on. Until one day, what you built doesn’t quite work. A tiny bug appears. Then a bigger one. Then a logic flaw that makes you say: “Wait, did I even write this?” Truth is, we don’t always treat AI with the respect it deserves. There was a time when coding meant thinking. You traced logic flows. You wrestled with edge cases. You named variables like they mattered—because they did. But somewhere along the way, AI became a shortcut. And thinking took a back seat. It’s not hard to see why. The suggestions feel smart. The syntax is clean. And the dopamine hit? Instant. But AI doesn’t know your context. It doesn’t know your edge cases. It doesn’t care about readability, UX tradeoffs, or the long game. That’s your job. And if you hand over the reins completely, you’re not saving time. You’re borrowing it—with interest due later. So I started treating AI like a junior teammate. Not because it’s incapable— But because it’s fast, eager, and context-blind. It needs direction. It needs review. It needs someone to say: “Nice start. Let’s tighten this up.” Because fixing bugs created by AI isn’t just frustrating— It’s not much of a vibe you wanna vibe with. And honestly? I’d rather keep the vibe.
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