You Can Build Fast With AI. But Would You Survive Production?

Usman Soliu, a seasoned software engineer with a career spanning over six years, has devoted more than three years to constructing robust backend applications. Beyond the corporate sphere, he actively contributes to open-source projects, showcasing a commitment to collaborative innovation.
Let me say this plainly.
Being able to build a project fast with AI does not make you a senior engineer.
It just means you can move fast.
And speed, on its own, has never been the definition of experience.
Today, you can scaffold an app in a weekend.
Endpoints, database, auth, even tests.
AI will help you get there.
But real engineering does not show up when everything works.
It shows up when things start acting weird.
Engineering Is More Than Writing Code
I recently came across a post by Gergely Orosz where he shared a screenshot from a software architecture book.
The page breaks engineering into craft, production, commerce, and science.

That single diagram explains more about engineering maturity than most job titles ever will.
At the bottom is craft.
That’s where many of us start.
You build things. You ship. You enjoy the act of creation.
With AI, you can do this faster now. Much faster.
But production is different.
Production is when real users show up. When uptime matters. When mistakes cost money.
Commerce is different. That’s when the software has to justify its existence.
Science is different. That’s where deep understanding, patterns, and long-term thinking live.
Most people calling themselves “senior” are still operating in craft.
Speed hides that. AI amplifies it.
Then I noticed a reply under that post from Taha Hussein:

“Engineering isn’t just code.”
That line should slow you down.
Because AI can help you write code.
It cannot teach you what happens when a system starts failing quietly.
It cannot teach you how frontend decisions ripple into backend performance.
It cannot teach you how DevOps trade-offs show up as outages, cost explosions, or security gaps.
That kind of knowledge only comes from being there. From carrying responsibility. From making decisions when there is no clear answer.
AI makes you faster.
Experience makes you careful.
And engineering maturity lives in knowing the difference.
When things work, everyone feels senior
You ship something.
It works.
Then traffic grows.
Suddenly, responses are slow.
Some users complain. Others don’t.
Nothing is fully broken, but nothing feels right.
Now the question is not “can you build?”
It’s “do you know where to look?”
Do you know what part of the system is under pressure?
Do you know what usually fails first?
Do you know what not to touch while debugging?
AI will suggest fixes.
Experience tells you what not to do.
Scaling is not a tutorial problem
Let’s talk about scale.
Not the shiny kind.
The annoying kind.
The kind where you can’t change things freely anymore because people depend on it.
Have you ever scaled a system where a small change could affect thousands of users?
Have you done migrations knowing that rollback might not be possible?
Have you dealt with a situation where half the requests succeed and the other half fail, and nobody can explain why?
These moments don’t care how fast you shipped v1.
They care how well you understand the system.
Senior engineers think beyond their own code, they think system-wide
And this isn’t just backend.
If you change an API response, do you think about how the frontend will break?
Do you think about loading states, retries, weird edge cases users will actually see?
Do you think about what the user experiences when your “small backend change” adds two seconds to a request?
Senior engineers think across the system, not just their corner of it.
Production has a way of humbling everyone
Then there’s production.
Real production.
Have you been on-call before?
Have you woken up to alerts and realized logs are missing, metrics look fine, but users are angry?
Have you pushed a bad deploy and had to fix it while everyone is watching?
Have you felt that quiet pressure of knowing that real money and real trust are on the line?
AI doesn’t feel that.
You do.
What AI accelerates and what it cannot replace
Don’t get me wrong. AI is powerful.
It helps you learn faster.
It helps you explore ideas.
It helps you avoid boilerplate.
Use it.
But don’t lie to yourself about what it replaces.
AI does not replace judgment.
It does not replace responsibility.
It does not replace experience earned from mistakes.
A word for engineers moving fast with AI
If you’re an engineer using AI and shipping fast, that’s a good thing.
Build more.
Break things.
Ask questions.
Just understand this.
Seniority is not about how quickly you can build when things are calm.
It’s about how you think when things are not.
And no tool, no matter how smart, can skip that part for you.
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If this resonated with you, share it with someone who’s building fast and trying to build right.
I’ll be writing more in this series about AI, engineering maturity, and leadership from real experience.
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