A few weeks ago I was making a small program and my while loop never stopped. It just kept running and running. I didn't even try to figure it out. I copied the code, pasted it into an AI tool, and asked it to fix it.

It fixed it in like 10 seconds. I was happy. But then the next day I got almost the same error in a different program and I had no idea what to do. I had seen the answer before and still couldn't solve it. That's when I realized I didn't learn anything. I just copied.

AI really does help me

I don't want to say AI is bad, because it helps me a lot. When my teacher explains something and I don't get it, I can ask AI to explain it in an easier way. I can ask the same silly question three times and it doesn't get annoyed. For a beginner that's really useful.

But I noticed something not so good too.

When I knew I was depending on it

• I opened AI before even trying the problem

• I felt kind of stressed when I had to code without it

• My code worked but I couldn't explain what half the lines did

• When I got confused, I asked instead of thinking

The last one is the real problem.Being confused is annoying, but sometimes that struggle is exactly what helps me understand something**.** If you skip it, you skip the learning .

If I copy a solution and it works, I might feel like I solved the problem.But if I can’t explain why the code works, did I actually learn it?

That’s the question I keep coming back to.

I don’t think struggling is always bad

This is something I’m starting to understand while learning.When something doesn’t work, my first reaction can be to look for the answer immediately.

But sometimes being stuck is actually useful.

When I struggle with a problem, I have to think about what I already know. I have to try different things. I might make mistakes.And sometimes, that’s when something finally makes sense.

Of course, I don’t think we should spend three hours staring at the same error just to prove that we didn’t use AI.If I’ve genuinely tried and I’m still stuck, asking for help makes sense.

The important part is what I do after getting the help.

What I'm trying now

I'm not perfect at this yet, but these things help:

1. Try first. I give myself 15 to 20 minutes before I ask AI. Sometimes I still can't solve it, but at least I know what exactly I'm stuck on.

2. Ask for hints, not the full answer. Instead of "fix my code" I ask "what should I check in my loop?"

3. Rewrite it myself. After AI helps, I close it and try to write the code again on my own. If I can't, I didn't understand it.

4. Don't submit what I can't explain. If my teacher asked me about a line and I couldn't answer, that's a sign.

5. Some practice with no AI. It's slower and sometimes annoying, but it shows me what I really know.

So where is the line?

I think the line isn't about how much you use AI. It's about whether you're still thinking.

If AI makes me ask more questions and understand things better, it's a tool. If it makes me stop thinking and just copy, then I'm depending on it.

There’s a difference between asking AI to explain why my loop isn’t working and asking it to write the whole program for me. In the first case, I’m still trying to understand the problem. In the second, I might only be trying to get the finished code.

My takeaway

I'm still a beginner and I still use AI almost every day. But now before I paste something, I ask myself: am I trying to learn this, or just finish this?

Sometimes just finishing is okay. But when I'm learning, I want to struggle a little, because that's the part that actually makes me better.

What about you? Where do you draw the line? Tell me in the comments.