I've been studying computer science for about two or three years and am currently doing a backend internship. Since AI tools are allowed at work, I've started relying on them for almost everything: I describe what I need, let the tool generate the code, ask it to explain unfamiliar parts, and paste errors back in for fixes. Although I'm completing tasks, I often don't fully understand the resulting code.
If AI were suddenly unavailable and I received a new task, I'm not sure I'd know how to begin. I'm not opposed to using AI, but I want to develop the ability to understand code, break down problems, debug, and write at least some solutions independently.
Has anyone recovered from this kind of dependence? Should I return to the fundamentals, build small projects without AI, or practice coding exercises? What's a good way to keep AI as a learning aid without letting it do all the thinking and implementation for me?
5 Answers
A useful approach is to build something tied to a subject you want to understand. For example, an emulator or a small networking tool can force you to read technical documentation, understand a specification, and implement each part yourself. When you find a confusing concept, ask AI a very specific conceptual question, then close it and write the implementation independently. Use it like a tutor, not like a replacement developer.
It may help to schedule separate modes of work. For personal projects, spend a set period with AI completely disabled so you can rebuild your instincts. During internship tasks, use AI only after you’ve formed a plan and attempted the problem yourself. Ask it for alternative approaches, edge cases, or explanations rather than immediately asking for a complete solution. Over time, increase the amount you do independently.
Go back to fundamentals, but make the practice active rather than just rereading theory. Solve small exercises, recreate simple applications, and keep a notebook of bugs and the steps you took to diagnose them. At work, try to predict the solution before asking AI, and review every generated line until you can explain why it exists. If you can’t explain or modify the code without assistance, you probably shouldn’t accept it yet.
The main fix is to spend deliberate time writing code yourself. Pick a small project and remove AI from the implementation process. Work from the requirements, documentation, and your own notes, and expect to get stuck. That struggle is where you learn how to break problems down and debug them. Start with projects that are slightly below your current level, then gradually make them more complex.
You don’t necessarily need to ban AI forever, but you should stop using it as the person who writes and thinks for you. Try a rule that AI can answer questions or explain concepts, but it cannot provide code that you copy directly. Read the documentation, write your own attempt, and only ask for a hint after you’ve spent time investigating the problem yourself.

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