AI has made one uncomfortable question impossible to ignore: if an AI can write the code for you, what exactly are you learning when you use it?
This is especially important for beginners.
Stack Overflow reported that the share of developers using AI tools to learn programming increased from 37% in 2024 to 44% in 2025. At the same time, its research continues to highlight a trust problem: developers frequently use other sources to validate AI-generated answers because they are not confident the first answer is correct. Stack Overflow: are you learning with AI?
That combination matters.
AI is an excellent explanation engine. It can explain concepts, generate examples, explain error messages, compare approaches, translate documentation, help debug code, and generate project scaffolding.
But learning is not the same thing as receiving an answer.
The cognitive offloading problem
If every difficult step becomes "ask the AI," the learner can gradually outsource the exact mental work they were supposed to develop.
The result feels productive because the project moves forward.
But when the AI disappears, the learner may not know how to reproduce the result.
A better approach is to make AI part of a feedback loop, rather than the entire loop.
Start with a concrete task. Try to solve it yourself. Use documentation and experimentation. If you get stuck, ask for a hint or explanation before asking for a complete implementation. Make the change. Run it. Inspect the result. Commit it. Then review what happened.
The important distinction is between assistance and substitution.
A calculator can help you learn mathematics if you use it to verify your work. It can also prevent you from learning arithmetic if you use it instead of thinking.
AI coding tools are the same.
Should we ban AI from programming education?
Probably not. That would be unrealistic.
Professional developers are already using AI, and current developer surveys show that AI adoption continues to grow. Stack Overflow: agents on a leash
The goal should instead be to teach people how to use AI without surrendering their ability to reason.
That means learning to ask better questions, verify answers, read code, test assumptions, understand errors, and recognize when AI is confidently wrong.
The strongest learner is not the person who can produce the most code with AI.
It is the person who can look at AI-generated code and understand whether it is good.