If AI writes the code, is there any point in learning to program?
Short answer
There is, but what you need to learn has changed. AI tools can produce working code; understanding whether that code is correct, knowing where to start when it is not, and being able to say clearly what you want are still human. So there is less syntax to memorise and more value in the ability to read and judge. For someone who cannot read code at all, AI produces a box whose contents they do not know.
What the tool does and does not do
Today’s tools are genuinely good at turning what you describe into code. On small, well-defined jobs they often give a working result on the first try.
What they cannot do is know what you want. If your description is vague, the output is vague too — and the only way to notice that is to be able to read the output. If you cannot read the code the tool produced, you are holding something whose correctness you cannot judge.
The real sticking point: "it does not work, why?"
Beginners working with AI get stuck at almost exactly the same place every time: something does not work and they cannot describe what. Telling the tool "it does not work" gets you nowhere, because the tool cannot see your screen.
Being able to read an error message, guess which piece is responsible, and ask a narrow question — that is the actual skill. And that skill only forms if you have learned the fundamentals once.
How the order of learning has changed
Memorising syntax used to be the bulk of the work. It is not any more. What is more valuable today: understanding how the parts of a program talk to each other, reading errors, describing what you want precisely, and auditing what gets produced.
So for a beginner the right approach is neither banning AI nor handing everything to it from day one. Writing it yourself and then having it checked is the productive path between the two.
Using AI without learning to code
This is a legitimate path and the right one for a lot of people. If you want to speed up your work — drafting text, tidying data, delegating repetitive tasks — you do not need to learn to code. What you need to learn is how to use the tool properly and how much to trust its output.
The line falls here: if you want to use something, code is not required. If you want to build something, own it and maintain it, you need to know what is inside.
Frequently asked
Is software development as a career ending?
Treat anyone who answers that with certainty with suspicion — nobody knows. What is observable is that the centre of gravity is shifting from writing towards describing and auditing.
Can I build an application without writing code?
For simple applications, yes, today. You see the limit when something breaks or you want to customise it: if you do not know what is inside, you cannot move forward.
Do I need to know how to code to learn AI tools?
No. Fitting the tools into your work is a separate skill and requires no coding. Coding becomes necessary when you start building something with those tools.
