I've been learning to code for about two months and recently started thinking about how AI fits into the process. I'm not sure whether asking it to explain programming topics is actually helpful, since it can leave out important details, make mistakes, overcomplicate simple ideas, or introduce concepts I'm not ready to learn yet.
For example, I'm currently struggling with asynchronous programming. Instead of focusing on the basics, AI started discussing software architecture, which felt overwhelming and possibly unnecessary. I'm considering using AI mainly for in-depth research, clarifying specific questions, testing my ideas, and explaining parts of code or tools. What approaches have worked well for other beginners, and how can I avoid becoming dependent on AI or learning things out of order?
4 Answers
Don’t let AI write your programs for you. Try solving problems yourself first, then use it to check an idea, explain a specific error, or point you toward useful documentation. You’ll learn much more by writing and debugging code than by reading generated solutions.
Use AI as an interactive rubber duck or error explainer, not as your entire curriculum. Ask focused questions, such as what a particular function does, why an error occurs, or how a small piece of code behaves. For asynchronous programming, stick to the immediate basics—such as the event loop, promises, and callbacks—rather than letting the conversation jump into large-scale architecture. Official documentation and small experiments are still important for building your own understanding.
There’s no need to add extra complexity to your learning process. Spend most of your time programming, reading reliable documentation, and working through small projects. AI can be useful as a faster search and explanation tool, but verify what it says and make sure you can explain and reproduce the solution yourself.
That’s close to what I was thinking. I’ll probably keep it limited to focused questions, testing my ideas, and explaining specific tools until I have more experience.
Some learners prefer avoiding AI early on so they develop problem-solving and debugging skills independently. If you do use it, try not to ask it to solve every bug immediately. First read the error, inspect your code, and form a theory about what went wrong. Later, AI can be helpful for reviewing code, spotting redundant work, or suggesting performance improvements—but only after you understand the original solution.
So it’s better to ask about one specific concept or test a theory than to ask for a broad explanation of the whole subject?