AI and Coding: A Barrier to Development or a New Door?
Recently, artificial intelligence (AI) tools have been rapidly integrating into s...
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The students-can't-debug-their-own-script bit is the part that stuck with me. I don't think AI blunts your ability to write code so much as it skips the mental model you'd normally build while writing it, and that model is exactly what you reach for when the thing breaks. Reading AI output and building that understanding are different muscles, and the first one quietly lets the second go slack. Curious whether your review-everything rule actually rebuilds the model, or just catches the obvious misses like that SQL injection.
That’s a great question.
To be honest, I don’t think review alone rebuilds the mental model. A developer can review AI-generated code, spot a few issues, approve it, and still not fully understand how the system works. For me, the real test comes later: debugging, extending, optimizing, or redesigning that code. That’s where shallow understanding becomes visible very quickly.I think AI changes the learning path. In the past, people often built understanding while writing the code. Now they may need to build understanding after the code already exists.The danger isn’t using AI-generated code. The danger is mistaking familiarity for understanding.Reading something and thinking “this makes sense” is not the same as being able to explain why it works, how it fails, or how you would redesign it.
Mustafa I have a question?
Of course. 😊
Go ahead — I’m curious what your question is.
Should I learn HTML and JavaScript,css?
Yes, definitely.
If someone asked me where to start today, I’d still say HTML, CSS, and JavaScript.
Not because you’ll spend your whole career writing them, but because they help you understand what’s actually happening behind the screen.
AI can generate code for you, but when something breaks—and trust me, it will 😄—you’ll need enough understanding to figure out why.
My advice would be: learn the basics, build small things, and don’t be afraid to use AI along the way. Just don’t let it do all the thinking for you.
The goal isn’t to memorize everything. The goal is to understand enough that you can tell when the AI is helping you… and when it’s confidently leading you in the wrong direction.
Ok ok I will learn but I find it boring😅
That’s exactly what TheLazyGirl would say. 😄
The good news is that you don’t need to love every part of learning. Most developers didn’t fall in love with HTML tags on day one. What keeps you going is building something that makes you smile and then learning just enough to make the next thing.
AI coding tools aren’t blunting developer skills — they’re exposing which skills were already shallowly held.
If someone relies on AI to replace thinking, then yes, fundamentals will decay. But that’s not an AI problem — it’s a learning approach problem. Even before AI, copy-paste coding, Stack Overflow-driven development, and framework abstraction already shifted how developers learn.
The real shift now is this: writing syntax is getting cheaper, but understanding systems is becoming more valuable.
Strong developers will still do what they’ve always done — break problems down, reason about tradeoffs, debug with intent, and question outputs. AI just compresses the time between idea → implementation. It doesn’t remove the need for understanding; it raises the cost of not understanding.
So instead of asking “Is AI weakening developers?”, a better question is:
Are we still practicing deep thinking, or just delegating it?
Because AI won’t replace strong developers — but it will quietly amplify the gap between those who understand and those who only execute.
I completely agree with the distinction between syntax and understanding.
Over the years, I’ve seen similar debates around frameworks, IDEs, code generators, Stack Overflow, and now AI. The tool changes, but the underlying question stays the same: are we using the tool to extend our thinking, or to avoid thinking?
What concerns me isn’t that developers can generate code faster. It’s that they can now generate complexity faster.
A developer who doesn’t understand architecture, performance, security, or failure modes can build a much larger system than before—without necessarily understanding more of it.
That’s why I increasingly view AI literacy and systems thinking as complementary skills. AI can accelerate implementation, but it cannot replace the responsibility of understanding the system you’ve just created.
As you said, the gap may not disappear—it may actually widen.
I am excited for your next post!!💗🌺
Thank you! 😊🌺
That means a lot.
I’ll keep writing as long as people keep asking good questions and starting interesting discussions. And you’ve already contributed to both. 😄
Hopefully the next post will be interesting enough that even TheLazyGirl won’t be tempted to skip to the conclusion. 😉
I hope that!!