AI Doesn't Replace Engineers. It Rewards Better Ones
I used to think AI's biggest advantage was writing code faster. After cleaning up my own mistakes, I realized the real value of AI isn't speed—it's helping engineers make better decisions.
Everyone talks about how good AI has become.
And honestly, they're right.
I can build things today that would've taken me days just a year ago.
But I don't think we spend enough time talking about where AI isn't good.
Speed Isn't The Problem
AI can generate code incredibly fast.
Sometimes faster than I can even read it.
That's impressive.
The problem starts when speed becomes the goal.
For a while, I judged a good AI session by how many files it generated.
The more code, the better.
At least, that's what I thought.
The Mess Was My Own
Eventually I had to slow down.
Not because AI failed.
Because I did.
I found myself cleaning up duplicated logic, oversized components, and abstractions that never should have existed.
The codebase had become harder to understand with every feature.
The funny part?
None of it came from another developer.
It was my own code.
AI simply helped me create mistakes faster.
AI Doesn't Own The Consequences
AI doesn't have to maintain your project six months from now.
It doesn't wake up to production bugs.
It doesn't explain technical debt to a client.
It doesn't decide whether a shortcut is worth taking.
Those responsibilities still belong to the engineer.
And that's exactly why engineering hasn't become less important.
It's become more important.
What Changed
These days I rarely ask AI to "build this feature."
Instead I ask questions like:
- Is this architecture becoming too complicated?
- What trade-offs am I missing?
- Can this be simpler?
- What would future me regret here?
- Is there a better abstraction?
The conversation changed.
And surprisingly, the quality of the software changed with it.
Better Questions Produce Better Software
AI is incredibly good at execution.
But software isn't only execution.
It's judgment.
It's priorities.
It's understanding people, products, and long-term consequences.
Those are things no language model fully owns.
The developers getting the most value from AI aren't necessarily the fastest.
They're the ones asking better questions.
Engineering Still Matters
I don't think AI is replacing software engineers.
I think it's exposing the difference between writing code and building software.
Writing code has become cheaper.
Good decisions have become more valuable.
That's why I still believe the future belongs to engineers—not because AI isn't powerful, but because knowing what to build has always mattered more than knowing how to type it.
