From Painful Debugging to AI Assistance — Am I Becoming a Weaker Programmer?

There is a phase in my journey as a web programmer that has recently made me think quite deeply. It’s not about new technologies, not about new frameworks, and not even about new programming languages. It’s about how the way I learn, the way I think, and the way I work has completely changed since AI became part of my daily workflow. At first, this change felt strange. It even made me feel like something was “missing” from me as a programmer.

Back then, before AI was easily accessible, the way I built website projects was very traditional. Whenever I wanted to create something, I would open YouTube and search for tutorials one by one. I read long documentation that often made my head spin, and I tried to understand the code flow and workflow from various examples. The process was slow, exhausting, and often confusing, but that was where real learning happened.

When errors occurred, I opened StackOverflow, searched for people who had experienced the same issue, read long discussions, tried to understand their solutions, and applied them myself. It wasn’t uncommon for me to spend days just solving a single error. There were even times when I spent an entire week focusing on fixing just one problem. It was frustrating, but when I finally solved it, the satisfaction was incredible.

“Sometimes, it took a whole week to solve one error. But when it worked, it felt like winning a war.”

Whenever I needed a feature, I searched for tutorials again, looked for templates, broke them apart to understand how they worked, studied the code structure, and went through endless trial and error. It was truly a “bleeding” process, but without realizing it, that struggle built something very strong within me. I memorized many syntaxes, understood common workflows, developed sharp debugging instincts, and grew an intense curiosity whenever errors appeared. All of this happened because, back then, there were no shortcuts.

Now, the way I work is very different. If I want to build a project, I brainstorm with AI first. If an error occurs, I simply copy the code and ask AI to explain what went wrong. If I need a feature, I just describe what I want, and AI can help generate it. I no longer need to watch long tutorials, dissect paid templates, or spend hours searching for a single solution.

“If AI exists now, why should I waste time like I used to?”

At first, this felt incredibly helpful. But over time, a strange feeling appeared. Debugging no longer felt like a long adventure. Syntax that I used to memorize is now something I often forget, because I know I can ask AI anytime.

“Why doesn’t this feel as exciting as it used to?”

Then a deeper question came to mind.

“Without AI, would I still be as capable as before?”

I was afraid that my skills were declining. I used to remember so many things, and now I often forget syntax. Debugging used to take days, now it can be solved in minutes. Logically, this is much more efficient. But emotionally, something felt different.

After reflecting on this, I realized that what changed wasn’t my skill, but the way my brain works. Back then, my brain was forced to remember because there was no quick place to ask questions. Now, my brain is trained to understand because I can ask AI anything.

“I used to be strong because I memorized. Now I am strong because I understand.”

I also realized that what I miss is not memorizing syntax. What I truly miss is the curiosity during debugging, the frustration that turned into satisfaction, the feeling of “finally understanding,” and the long, challenging struggle.

“What I miss is not the syntax, but the struggle.”

AI removes most of that struggle, and without the struggle, the satisfaction feels different. Not worse, just less “heroic.”

However, in the middle of all this, there is one principle I still hold firmly. I do not want to blindly copy results from AI without understanding them. I still try to build features myself before looking at AI’s answer. I still want to understand the code and the project flow that I work on.

And at this point, I realized something very important. When I asked myself:

“In which part did I understand better in the past than I do now?”

The answer was the opposite. I understand much better now. Because back then, there were many theories I followed without truly understanding them. I followed tutorials and steps, but I didn’t always understand the reasons behind them. Now, I can ask AI about anything I never fully understood before.

“For me, AI is not a code generator, but a private tutor that explains things until I truly understand.”

I started to see that in the past, I was more like a mechanic who memorized how to assemble things. Now, I feel more like an engineer who understands why things are assembled that way. I used to be strong in technical memorization. Now I am strong in concepts and ways of thinking.

“I used to memorize how to put things together. Now I understand why they must be put together that way.”

And it turns out, winning at the level of understanding feels calmer, but less dramatic. Maybe that’s why I once felt like I was “better” before.

In the end, I realized that I am not becoming a weaker programmer because of AI. I am simply losing the nostalgic feeling of struggle that I used to enjoy. AI does not make me lazy to think. Instead, AI helps me understand things that I never truly understood before. In conclusion, I used to be strong because I memorized, now I am strong because I understand, and in today’s era, understanding the thinking behind the code is far more important than merely memorizing syntax.