Something about AI-assisted programming has been bothering me—not because AI coding tools are bad, but because they are becoming so convenient.

If an AI can generate a working function in seconds, why spend an hour writing it yourself?

If AI can explain an error immediately, why struggle with debugging?

If AI can generate boilerplate code, why memorize syntax?

These are reasonable questions.

But there's another question that might be more important:

Are we becoming better software developers by using AI, or simply becoming better at asking AI to write software?

There's a difference between generating code and understanding code

Imagine an AI generates a 500-line application.

It runs.

The demo works.

But then something breaks in production.

If you don't understand:

• How the code works
• Why the architecture was chosen
• Where the data flows
• How authentication works
• What the dependencies do
• How to debug the system

then having AI generate even more code might not solve the real problem.

AI can remove the boring parts

And honestly, that's one of the best things about it.

Developers don't necessarily need to spend hours writing repetitive boilerplate.

AI can potentially help with:

• Basic implementations
• Documentation
• Unit tests
• Refactoring
• Code explanations
• Debugging suggestions
• Repetitive transformations

That could leave developers with more time for higher-level problems.

But only if they actually understand those problems.

The beginner problem

This might be especially important for students.

A beginner normally learns through mistakes.

You write something.

It fails.

You debug it.

You search for the problem.

You try again.

Eventually, you understand why it works.

If AI immediately fixes every error, the beginner may get the correct result without understanding the underlying issue.

That's convenient—but potentially a poor learning experience.

Maybe the best way to use AI is differently

Instead of asking:

"Write the code for me."

Try:

"Give me a hint."

Instead of:

"Fix this entire project."

Try:

"Help me identify where the bug is."

Instead of:

"Build this application."

Try:

"Review my architecture and tell me what I'm missing."

That turns AI from a code generator into something closer to a programming mentor.

I don't think AI makes learning programming pointless

If anything, I think understanding fundamentals becomes more important.

When AI writes the code, you need to be able to judge whether the code is:

• Correct
• Secure
• Efficient
• Maintainable
• Appropriate for the problem

Otherwise, you're trusting a system you can't properly evaluate.

Question for developers and students

Has using AI actually made you a better programmer?

Or do you sometimes feel that you're becoming dependent on it for problems you could previously solve yourself?

And if you're a student:

Do you learn more when AI gives you the answer, or when you struggle with the problem first?

I'm genuinely curious about people's experience with this.