I'm a high school student in Japan who started programming in middle school. I began using ChatGPT for coding around the same time, and now I can usually understand generated TypeScript, modify it, and fix some bugs—but I struggle to build the same kind of project from an empty file without AI.
AI is useful because it helps me turn ideas into working projects quickly, and I expect it will remain a normal tool for programmers. However, I don't want to become completely dependent on it or mistake generated code for actual understanding.
Should I stop using AI temporarily, limit it to hints and documentation, or use it differently? How much code should a programmer realistically be able to write without assistance, and what practice routine would help me become more independent while still using AI effectively?
5 Answers
You should spend some dedicated time coding without AI. It will feel much slower and more frustrating than generating a solution, but that struggle is where you build the ability to design programs and solve problems yourself. This doesn’t mean memorizing every method or syntax detail—you’ll still use documentation and look up examples in real development. The important part is being able to reason about the solution instead of depending on AI to create it.
Treat AI differently depending on your goal. If you’re building something mainly to ship it, AI can save time. If you’re building it to learn, write the important parts yourself first. Try solving the problem, checking documentation, and debugging on your own before asking AI for help. You can then compare your approach with its suggestions and ask it to explain specific issues rather than handing over the whole task.
Start with small projects and fundamental exercises that you can complete without assistance. Implement things such as sorting algorithms, a queue, a hash map, a tree, or a simple graph, then build small applications around them. If you get stuck, ask for a hint or an explanation, not a finished solution. Gradually increase the size of the projects once you can comfortably plan and implement the basics.
Being able to read AI-generated code is useful, but it isn’t the same as understanding it deeply. Before accepting a suggestion, explain what each part is supposed to do, test edge cases, and try changing or extending it yourself. A good rule is that you shouldn’t ship code you couldn’t at least debug and explain. AI should reduce repetitive work, not replace your ability to make technical decisions.
You don’t need to give up AI permanently, but you probably do need regular no-AI practice. Set aside specific sessions where you work from a blank file and use only documentation. Once you have a working attempt, use AI as a reviewer or tutor. Keeping learning projects separate from productivity projects makes it easier to benefit from AI without letting it remove all of the practice.

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