🎓 Dear Junior Developer: Don’t Outsource Your Brain

🎁 Gift and trap

If you’re learning to code right now, I imagine AI feels like both a gift and a strange complication.

You can ask for an explanation, get an example, generate a test, or ask why your program crashes. That’s an incredible learning aid. You don’t have to wait for someone to answer your question, and you can explore a topic at your own pace.

But there’s a trap hiding inside all that convenience: getting an answer can feel like understanding something when it isn’t.

AI can produce a solution before you’ve had time to struggle with the problem. You copy it, the program runs, and you move on. Then a slightly different problem appears, and suddenly you’re stuck again because the important learning happened in the reasoning you skipped.

I’m not arguing that beginners should avoid AI. That seems unrealistic, and it throws away a potentially useful tutor. I’m arguing that we should use it in a way that makes us more capable, not more dependent.

🛠️ A workflow I’d try

Here’s a workflow I’d try:

Make an attempt first. Even a rough one gives you something to reason about.
Ask for a hint before asking for the solution. Try to preserve the opportunity to solve the problem yourself.
Ask it to explain the trade-offs. Why this approach? What alternatives exist? What could fail?
Test the result. Change an input, break an assumption, and see whether you can predict what happens.
Close the answer and rebuild it yourself. If you can’t explain the code without looking, you’re probably not done learning it.

🐞 Why debugging matters

I’m especially concerned about debugging. Reading an error message, tracing a value through a program, and narrowing down the cause are not glamorous skills, but they’re how you develop a feel for software. If AI does every difficult bit before you even look, when do you build that instinct?

💼 Entry-level uncertainty

There’s another question I don’t think we can answer confidently yet: what happens to entry-level jobs if companies expect new developers to be productive with AI from day one? The tools may help beginners contribute sooner, but employers could also change what they expect from junior hires. Both possibilities deserve attention.

🧭 What to aim for

So learn the tools. Learn to ask better questions. Use AI to explore unfamiliar concepts and get feedback on your work.

But keep writing code yourself. Keep debugging. Keep asking why.

You don’t need to beat AI at generating boilerplate. You need to become the person who can understand a problem, judge a proposed solution, and take responsibility for the result.

That is a much better goal than becoming an expert at copying answers.