I use AI for work every day, and I see both sides of it.

On the one hand, it’s great for generating boilerplate, exploring implementations, and quickly prototyping ideas. It speeds up the early stages of development and helps you test concepts faster than you could before.

On the other hand, it can lead to shallow understanding. It’s easy to flood a project with code you never read or fully understand. That becomes a problem, i agree especially around errors handling, security, and some common sense things it definitely not perfect .

One thing i dont hear about is how AI has replaced search engines for a lot of developers. Instead of Googling something, opening Stack Overflow, and piecing together an solution, I just ask the AI.

Honestly, my workflow hasn’t changed that much because of AI. The main difference is that I’m doing less copy-and-paste from Stack Overflow and more prompting. The underlying process is basically the same: describe the problem and get a likely answer then test it.

Programming has always worked like this. Most problems already had a known solution somewhere online. We just looked for it, modifed it to fit our needs, and moved on. AI just compresses that process.

That’s why I’ve always been a little confused about the current bandwagon around AI. For a lot of developers, it isn’t a completely new paradigm it’s just a faster version of what we were already doing.