Am I Relying on AI Too Much While Learning to Code?
Asked by
MellowCedar42
I started learning to code last summer and made a lot of progress over about three months, but then I took a long break because I couldn't motivate myself to continue. I restarted this year, felt very rusty, and ended up taking another few months off. Now I'm determined to stay consistent, but I'm unsure whether my current learning process is holding me back.
I don't want to become someone who just generates code without understanding it. Right now I'm learning PySide6, and since I don't know the syntax very well, I often ask an AI assistant how to implement a specific feature. Usually I understand what I want to build and why I need it, but the assistant provides much of the actual syntax. I try to adapt the examples and ask for explanations when I don't understand them, but I don't always remember everything afterward.
Is looking up syntax and using AI explanations a normal part of development, or am I avoiding the work I need to do? Should I rely more on documentation, write examples by hand, or try to solve things without AI first?
Answers
Looking up syntax is completely normal, but try to make sure you understand the code rather than treating the AI output as a finished solution. Before asking for help, attempt the problem yourself, then compare your approach with the example. You should be able to explain what each important part does, change it, and debug it when something breaks.
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Use the documentation as your main reference and AI as a tutor or translator. PySide6 is a large framework, so you don’t need to memorize the whole thing. Learn the fundamentals, find the relevant classes and methods in the docs, and build small projects that force you to use them repeatedly. Asking for an explanation in terms of a toolkit you already understand can be useful, as long as you still verify the answer.
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Don’t confuse forgetting syntax with failing to learn programming. Even experienced developers regularly look up language details, especially when switching between languages or frameworks. The important skills are understanding the underlying concepts, knowing what you’re trying to accomplish, and being able to reconstruct or investigate the solution when needed. If AI is doing all the thinking and you can’t explain or alter the result, slow down and solve smaller pieces yourself.
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If copying and pasting makes you feel disconnected from the code, type the example yourself and then modify it. Keep a small personal folder of handwritten notes, experiments, and working examples for the library. When you forget something, reviewing code you wrote yourself is often more useful than searching for a brand-new example.
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