Why You Should Still Learn to Code (Even Though AI Can Do It For You)

AI can write code now. So why bother learning yourself? Because coding was never really about the code in the first place.

Here's a picture for you.

You walk into a kitchen kitted out with every gadget going, a Thermomix that chops, sautés, and steams on its own, an oven you run from your phone, a coffee machine that already knows how you like your flat white. Push a few buttons, three-course meal, no sweat.

Does that mean you shouldn't bother learning to cook?

No. Cooking isn't really about getting food on a plate. It's understanding flavour, knowing why bread rises, tasting as you go and adjusting. There's a real gap between following a recipe and actually knowing what you're doing, and that gap matters a lot when something goes wrong, or when you want to make something nobody's made before.

Learning to code in 2026 isn't any different.

The Thermomix problem

AI code generators are genuinely impressive. Describe what you want and you'll get a working function, a full component, sometimes a whole app back. It's basically having a top chef next to you in that kitchen, ready to chop whatever you point at.

What that chef won't tell you, though, is whether what you asked for actually makes sense. It won't look at your half-finished project and say "you're solving the wrong problem here." It can't hand you taste, that instinct for spotting the difference between something well-built and something that's a mess that happens to work.

You only get that by learning the craft yourself.

What you actually pick up when you learn to code

Sit down and learn programming properly, the slow way, bugs and frustration and that one moment where it finally clicks, and you're not just memorising syntax. A few things you pick up along the way:

Thinking in steps. Breaking a big vague problem into small solvable ones. On its own that's worth more than any AI tool, because it's useful for basically everything, not just software.

Debugging. Something will break. AI can help you find the bug, sure, but you still need to know what you're looking for, how to describe the problem properly, and whether its fix actually solves things or just hides them. Without that, you're guessing.

Reading code. Most of a programmer's time isn't spent writing, it's spent reading, figuring out what's already there before touching anything. AI is great at generating new code and pretty bad at understanding an existing codebase with all its quirks and history.

Knowing when AI is wrong. Because it will be. Confidently. Politely. Convincingly. Miss the mistakes and you're not saving time, you're building on quicksand.

The car mechanic rule

Here's another angle. Most people drive cars. Modern cars are stuffed with computers running fuel injection, braking, traction control — more complex than the systems that flew the Apollo missions. You don't need to understand any of it to drive to work.

But if the car dies on a dark road at midnight, you'll be glad you know how to change a tyre, check the oil, or at least follow what the mechanic's telling you.

Software runs everything now, every industry, every company, every device. Knowing even a bit of how to code means you're not stuck when something breaks. You can look under the hood, understand roughly what's going on, and ask the right questions instead of just nodding along.

AI is a tool, not a teacher

To be fair, I'm not anti-AI, I use it constantly, for plenty of this exact kind of work. The point isn't to avoid it.

But there's a difference between using a tool and letting it do your thinking for you.

It's a bit like calculators. When they showed up everywhere, teachers worried nobody would learn arithmetic again. And yeah, most of us don't do long division by hand anymore. But the people who are actually good at maths aren't the fastest at punching numbers in, they're the ones who understand what the numbers mean, who look at an answer and go "that can't be right, because…" That kind of understanding only comes from having done the work yourself, at some point.

Same goes for code. AI is going to write a huge amount of it going forward. But the people building the best things, solving the hardest problems, and actually steering where this all goes, that's going to be the people who learned to code, who sat with the bugs, who built the instinct the hard way.

Start small

You don't need to become a senior engineer overnight. Write a tiny script that renames a folder of files. Build a webpage that just says hello. Work through a tutorial and type the code out yourself instead of pasting it in.

Get stuff wrong. Get annoyed. Fix it. Feel that small rush when it finally runs.

That's not just a skill you're picking up, it's a relationship with the technology that nothing else gives you. Understanding, properly, that none of this is magic. It's logic, it's instructions, it's a tool you decide how to use.

And that's not going out of style any time soon.