Working Smarter in the Age of AI

Technology isn’t just evolving—it’s sprinting. Every week there’s a new tool, a new framework, or another “revolutionary” AI that promises to make building things effortless. But I keep wondering: are people in tech, and those hoping to get into it, actually adapting to this pace?

These days, you don’t even need to be a developer to launch something. With a few prompts and drag-and-drop tools, you can spin up a working app in an afternoon. That’s impressive, but here’s where it gets messy—most of those quick builds fall apart just as fast. I’ve seen it happen more than once: an automation fails, an API changes, or an AI-generated script stops behaving, and suddenly no one knows how to fix it.

AI isn’t the problem. The problem is thinking it’s magic. You still need to understand the logic behind what you’re building. Without that, you’re not creating—you’re just assembling borrowed parts. And when the system breaks (which it will), the difference between a tinkerer and a tech professional becomes painfully clear.

So yes, let’s use these tools. Let’s save time and move faster. But let’s also stay sharp, learn how things actually work, and build systems that stand up when the shortcuts don’t. Working smarter isn’t about skipping the hard parts—it’s about mastering them.