The question behind the question
Most parents asking this aren't really asking about Python. They're asking: in a world where AI can produce the thing, is it still worth my child learning to make the thing? It's a fair question, and the honest answer is that the reason to learn coding has changed — not disappeared.
For decades, the payoff of coding was production: you could build what others couldn't. That advantage is shrinking fast. But a second payoff was always there, quieter and now far more valuable: coding teaches you how systems behave — that a program is just rules and data, that small changes have predictable effects, that you can reason your way from a bug to its cause.
What replaces "write it from scratch"
The skills that matter now sit one level up from typing:
- Reading & prediction. Can you look at code and say what it will do before running it?
- Debugging. Can you find the one thing that's broken among the ninety-nine that are fine?
- Specification. Can you describe what you want precisely enough that a person — or an AI — can build it correctly? (Vague words in, weak result out.)
- Judgement. When the machine hands you an answer, can you tell whether it's actually good?
You'll notice none of these is "memorize syntax." Syntax is cheap to look up and cheap for AI to produce. Judgement is neither — and you cannot supervise what you cannot read. A child who can't read code is at the mercy of whatever the machine hands back.
How we teach it at Lucas Academy
This is exactly why our Glitch Arcade has kids read and fix real game code rather than write it from a blank page. A game runs, its code is broken on purpose, and the child finds the one token that's wrong and flips it. The fix is tiny; the judgement is the whole point. In Snake-Lab, kids tune a bot and then read the code that made it win — or reward-hack the rules. It's coding pointed at the skills that survive AI, not the ones it replaces. The bigger picture is in our essay on learning in the age of AI.
Common questions
Is learning to code pointless now?
No. Coding is still the clearest way for a child to learn how systems behave — and that mental model is exactly what lets someone judge whether AI-generated code is any good.
What should kids learn instead of memorizing syntax?
Reading and prediction, debugging, decomposition, and clear specification. Syntax is easy to look up; the judgement around it is the durable skill.
At what age should a child start?
Reading and fixing code works well from around ages 10+, especially through games where code controls something a child cares about. Younger kids build the same thinking through logic, patterns, and cause-and-effect play first.
Will software still be a viable career?
We won't promise a specific job market a decade out. But reasoning about systems, judging machine output, and directing tools well apply to any field where people work alongside AI — and that's what we aim at.
See the shift in ninety seconds
Open The Glitch Arcade with your child. Before touching anything, ask them to predict what a broken game will do. Run it. Then find the one wrong line together. That single loop — read, predict, judge, fix — is the whole answer to this question, in miniature.
Open the Arcade — free Read the essay