AI is very good these days.
I still remember when ChatGPT first came out. Back then I could yell at it all day and it would still give me terrible code.
Now it can write something surprisingly decent in seconds.
The twist
But here's the thing: AI is still not really that good.
Yes, it can produce decent code. But drop it into a real codebase with conventions, constraints, edge cases, and a pile of existing decisions, and it starts to feel off.
It can sound confident while writing code that clearly does not belong there.
That is why I do not think AI is becoming an engineer anytime soon.
And honestly, that is good news.
If you treat AI like a consultant instead of a replacement, it becomes insanely useful. A consultant does not own the system. A consultant gives options, spots patterns, and helps you move faster. You still make the call.
That is the mindset more people need.
Use AI for leverage, not identity
A lot of people are scared because they think AI is coming for their identity.
If your identity is:
- "I write every line of code myself"
- "I must know everything"
- "I never need help"
Then yes, AI feels threatening.
But if your identity is:
- "I solve problems"
- "I understand tradeoffs"
- "I can review and guide output"
- "I can ship things that matter"
Then AI just becomes another tool in your belt.
The people who win are not the ones who write the most code.
They are the ones who can:
- define the problem clearly
- break it into small steps
- spot bad assumptions
- review output with judgment
- fix the parts that actually matter
That is not replacement territory.
That is leverage territory.
What AI still cannot replace
AI is fast.
But it still struggles with the stuff that makes engineering hard in the real world:
- understanding messy business context
- knowing which tradeoff matters most
- reading a codebase like a human maintainer
- protecting architecture from accidental damage
- deciding what should not be built
And this is the part people forget.
Code is not the hard part.
The hard part is knowing:
- what problem to solve
- what constraints exist
- what the user actually needs
- what the team can maintain
- what will break later if you rush now
AI can suggest.
But it cannot care.
It cannot own production incidents.
It cannot defend a design in a meeting.
It cannot explain to a product manager why a shortcut will hurt later.
That is still on you.
So how do you not get replaced?
Simple.
Be the person who adds judgment.
Not just output.
Not just speed.
Judgment.
That means you should:
- learn the fundamentals, because AI cannot save you if you do not know when it is wrong
- use AI to draft, then review like your name is on the merge request
- get good at reading code, not just writing it
- understand system design, debugging, and communication
- become the person who can take a vague idea and turn it into a real plan
The real danger is not AI.
The real danger is becoming the kind of engineer who only knows how to copy what the machine says.
If that is all you do, then yes, you are replaceable.
But if you can steer the machine, question it, correct it, and turn it into working software, then you become even more valuable.
Final thought
I do not think AI will take your job if you keep learning.
I think it will take the job of the person who stopped learning.
So keep your curiosity.
Keep your standards.
Use AI like a very fast assistant, not a fake brain.
Because the future is not "human vs AI".
It is human with AI vs human without judgment.