I'm honestly blown away by today's AI coding tools.

And just looking at how people approach coding now...

It used to be that building a simple feature meant digging through documentation, scouring Stack Overflow, and spending hours dealing with a single error.

Now, you just describe what you want, and it writes the code for you.

I was looking at the Stack Overflow 2025 개발자 설문, and it's actually pretty interesting.

84% of respondents said they use or plan to use AI tools in their development process, but more people distrust the accuracy of AI outputs than trust them.

Specifically, 46% are in the distrust camp, while 33% trust it.

Isn't that a bit funny? Everyone is using it, but everyone also doesn't really trust it.

Then again, it kind of makes sense.

Even if AI writes the code for you, if you don't understand why it works or where things might go wrong, you'll eventually hit a wall when you need to fix something.

At the same time, it feels odd to tell someone just starting out to spend years grinding through syntax.

Is the ability to write code from scratch as important as it used to be?

Or should we prioritize learning how to give AI precise instructions and verify the results?

Personally, I think the very reason we learn to code is shifting.

If you were a student getting into coding today in the age of AI, would you still need to learn how to write code from scratch, or should you start by learning how to build software using AI?