There are two types of developers, and AI is widening the gap

There are two types of developers, and AI is creating a divide between them:

Those who learned to code for the intellectual challenge — algorithms, data structures, etc.

And those who learned to code because they had a project to bring to life.

And it suddenly becomes much easier to tell who's for or against AI in code: the former see it as a dumbing-down crutch, the latter as a force multiplier.

The intellectual challenge vs. the result

For the first group, coding is solving puzzles. The elegance of an algorithm, optimizing time complexity, the beauty of an architecture — that's what excites them. And you can understand: there's something deeply satisfying about solving a complex problem with well-written code.

But when an AI does the same work in 30 seconds, that satisfaction disappears. The process has no value if the result is instantaneous.

The force multiplier

For the second group, code was never an end in itself. It's a means. A tool for turning an idea into a product, a need into a solution. What matters is the result: the running application, the solved problem, the satisfied user.

For them, AI is a revolution. What took weeks takes days. What took days takes hours. The barrier between idea and realization has never been thinner.

The real issue

The question isn't whether AI "kills" development. The question is: what are you building, and for whom?

If your value lies solely in your ability to write code, yes, AI is a threat. But if your value lies in your ability to understand a problem, imagine a solution and deliver it — then AI is the best tool you've ever had.

Pick your side.

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Originally published on LinkedIn.