A few years ago, writing code meant wrestling with bugs line by line, Googling errors at 2 a.m., and slowly learning why things worked. Today? An AI can write, debug, and optimize code in seconds. It feels like magic. But here’s the uncomfortable truth I keep noticing: many developers are using AI every day without really understanding what’s happening under the hood. I’ve seen it firsthand. When the AI output works, everything feels smooth. But the moment it breaks… confusion kicks in. Why did it fail? Why is the behavior inconsistent? Why doesn’t this solution scale? According to recent studies, more than 70% of developers admit they rely on AI tools without deeply understanding how they work. And that gap matters. Because when you don’t understand the system, you can’t truly control it. You can’t debug confidently. You can’t optimize intentionally. And innovation turns into guesswork. AI isn’t here to replace thinking — it’s here to amplify it. When developers understand the foundations behind AI — how models learn, why outputs differ, where limitations exist — something powerful happens. We stop treating AI like a black box and start using it as a creative partner. That’s where real progress lives. Not just in faster code, but in better decisions, ethical use, and stronger software. As AI continues to evolve, our responsibility grows with it. The goal isn’t to keep up. The goal is to understand — and then build something better.AI should be a tool we guide, not one we blindly follow.

Well said

Recently I’ve started prototyping my designs in Figma more than I have in the past.

I tended to avoid prototyping in the past due to it being time consuming and honestly most of the projects I was working on were simple enough to not require this amount of detail.

But as the projects I work on have become more complex I’ve found that this extra attention to detail really helps align with stakeholders and sell them on a design before starting development.

With a prototyped design clients are able to interact and see how the website will function, not just how it will look. This helps reduce uncertainty in the final deliverable and ultimately helps speed up Webflow development.

In the past describing all the hover interactions and click interactions for something even as simple as the slider below would require both time for me to explain and some imagination on the client’s part.

While imagination is great, it’s not the best way to align on fine details.

Anyways, long story short, new policy is show don’t tell.

Great interactions! Reminds me Framer sites (ahah sorry had to do it as a Framer dev :))