Has AI Changed the Way You Actually Think About Code? 🧑‍💻

AI tools have definitely changed the way I work as a developer.

I can move faster with tools like ChatGPT, Copilot, and Cursor, especially when I’m debugging, exploring unfamiliar code, or trying to understand a new concept.

At the same time, I’ve noticed a tradeoff.

Sometimes I catch myself reaching for AI before properly reading the documentation or trying to work through the problem on my own.

That made me wonder:

Are AI coding assistants making us better developers, or are they slowly making us weaker problem solvers?

For me, the challenge is finding the right balance between speed and understanding.

AI can help us:

• write code faster
• debug more efficiently
• explore unfamiliar technologies
• reduce repetitive work
• prototype ideas quickly

But there is also a risk of becoming too dependent on generated answers.

If we accept code without really understanding why it works, we may move faster in the short term but struggle more when something breaks later.

I still think one of the most important skills in software development is being able to understand the problem, think through the architecture, and recognize when a suggested solution is not actually the right one.

So I’m curious how other developers are approaching this.

• Do you use AI for most of your coding now?
• Has AI made you a better developer?
• Do you find yourself reading documentation less than before?
• Have you ever used AI-generated code and later realized you didn’t fully understand it?
• Where do you personally draw the line between assistance and dependency?

I’d love to hear how AI has changed the way you think about code. 🤔

If you’re interested in AI, cloud, DevOps, or software engineering, feel free to connect with me on LinkedIn as well:

LinkedIn: Connect with me on LinkedIn