Parents now ask me a version of this almost every week. Their child has seen someone build an app with AI in an afternoon, or typed a prompt and watched a working game appear. So why spend months learning to code, when AI can do it?
The short answer is yes, it's absolutely worth it. AI changes how we code, but it hasn't changed who ends up building the good stuff.
Quick Answer: Yes, learning to code is worth it, and AI makes it more valuable, not less. AI can automate parts of coding, but an app built with AI and no human guidance lacks depth: it looks generic, it breaks in ways nobody understands, and it doesn't feel intuitive to use. AI needs a person who knows what good looks like. Someone who knows a little coding and builds with AI might be 10x more productive. Someone who is an expert at coding can be 100x more productive. That's why the fundamentals will always be useful, whatever AI can do next.
What AI Can Genuinely Automate
Let's be fair to AI first, because it really is impressive. Modern AI tools can:
- write the repetitive, boilerplate code that every app needs
- produce a working first draft of a page, a game or a small tool from a description
- explain an error message and suggest a fix
- translate an idea from one programming language to another
Things that used to take a beginner a whole afternoon now take seconds. Anyone who tells you AI is useless for coding hasn't tried it recently. The question isn't whether AI can write code. It's what happens when nobody is guiding it.
Unguided AI Builds Shallow Apps
Ask an AI to "build me a homework planner app" and you'll get one. It'll have a list, a button to add tasks and maybe a calendar. It works. It also looks like every other app the AI has ever made, and it's missing everything that would make someone actually want to use it.
That's the problem with unguided AI. It gives you the most average version of what you asked for. It doesn't know that your users are 12-year-olds who need big buttons and reminders the night before a test. It doesn't notice that adding a task takes four clicks when it should take one. It can't feel that a screen is confusing, because it never uses the app.
And under the surface, things get worse. Each time you ask for a new feature, the AI bolts it on. After a dozen requests, the code is a tangle that even the AI struggles with: fix one bug and another appears. If you can't read the code, you can't tell why, and the project quietly stalls. We describe this wall in more detail in Is There Any Point Learning to Code Now That AI Can Code?
AI Needs Human Guidance to Build Something With Depth
The apps people love have what I'd call intuitive depth. They look good, they behave the way you expect, and the details have clearly been thought about by someone who cares. That doesn't come from a prompt. It comes from a person making hundreds of small decisions:
- What to build. Which features matter, which can wait, and which would only clutter the app.
- How it should feel. Where a button belongs, what happens when something goes wrong, how fast a screen should respond.
- How it fits together. How the data is organised so the app can grow without collapsing under its own weight.
- Whether the AI got it right. Spotting code that runs but does the wrong thing, or does it slowly, or unsafely.
Every one of those decisions is easier, and better, when you understand code. You know what's possible, you know what to ask for, and you can tell good code from code that only looks good. The AI becomes a very fast pair of hands, and you stay the one with the vision.
10x With a Little Coding, 100x With Expertise
Here's the way I explain it to students. Picture two people trying to build the next great app with exactly the same AI tools.
The first knows a little coding. They can follow what the AI writes, make small changes and describe what they want reasonably clearly. With AI, they're easily 10x more productive than they'd be on their own. They can build things that would have been out of reach a few years ago, and that's genuinely exciting.
The second is an expert at coding. They break the app into clear pieces before writing a single prompt. They hand each piece to the AI with precise instructions, read every line that comes back, reject the weak parts and fix problems in minutes instead of days. They know which design patterns will keep the app clean as it grows. With the same AI, they're something closer to 100x more productive.
The tools are identical. The difference is entirely what each person brings to them. And as AI keeps improving, that gap grows: every new capability gives the expert even more to direct, while the beginner reaches the same wall a little faster.
Why the Fundamentals Will Always Be Useful
AI tools will change. The ones your child uses at 18 will be very different from the ones that exist today. But the fundamentals underneath stay the same:
- Logic and problem solving: breaking a big problem into small, clear steps.
- Reading code: understanding what a program actually does, not just what it claims to do.
- Debugging: calmly working out why something broke, and fixing the cause rather than the symptom.
- Design sense: knowing what makes software clear, pleasant and reliable to use.
These are exactly the skills that turn AI from a toy into a superpower. A child who learns them is ready for whatever tools come next. A child who skips them is always at the mercy of whatever the AI happens to produce. If you'd like to see how this works in practice, our guide to learning with AI for kids covers how to use it as a tool rather than a crutch.
So, Should Your Child Learn to Code With AI?
Yes, in the right order. Learn the fundamentals first, so they understand what the AI is doing. Then learn to use AI well, so they can build far more than they could alone. That combination is what produces apps with real depth, and it's what we teach.
Our AI & Python course has teens write real Python and build their own language model, so they understand the AI they'll be working alongside. Students starting from zero can begin with our Python classes for beginners. As we explain in why our AI & Python course is meant to be fun, it's also a proper mental workout.
Classes run in small groups of up to 6, in person at our Jurong East studio or live online. Every course starts with a free 45-minute trial class. Book one and let your child start building the skills that AI multiplies.
