Development created by AI is close to a model house.

It has become so natural to start development with AI these days.

When you explain a feature in words, a screen appears,

APIs are attached, and a service form is created.

The speed is truly overwhelming.

However, there's something I often think about while watching this.

Many of the results we are creating with AI right now

are like model homes.

You can see a model home, but you can't live in it

When you visit a model home, everything looks perfect.

The lighting seems good,

the layout is well-designed,

and the furniture is beautifully arranged.

You can even walk through it

and check the view from the window,

and even the scent is curated.

But there are things you can never know in a model home.

1. How is the morning commute traffic?
2. How much noise from the adjacent road comes in at night?
3. Does the structure allow sewer smells to rise on rainy days?
4. Does it get breezy in the summer?
5. How do people in this neighborhood actually live?

And one more, the most important thing.

Is this house actually safe.

Are the pipes connected properly,

can the electrical design handle actual usage,

are there preparations for fire or flood situations.

All of this is revealed only after living in it and operating it.

AI makes model homes really well

AI is currently:

1. Create the screen
2. Add functionality
3. Quickly build the structure.

The appearance is plausible.

The space is also well-divided.

If we use an analogy to architecture,

AI can erect walls, install windows, and create the internal structure if it has the blueprints.

It's truly excellent, up to the level of a model house.

However, AI does not make decisions.

Where that building will be placed,

what the surrounding environment is like,

how people will actually live,

and above all, how to prevent risks.

Development is exactly the same

AI creates code.

It creates CRUD, adds login, and configures screens.

But AI doesn't know.

Why this feature was created

Why the structure changed due to a certain obstacle

Where customers kept getting stuck

What repeatedly failed during operation

Where security incidents could occur

These are all histories experienced by humans.

Products change shape and are refined based on these experiences.

Therefore, AI-based development often feels like this

At first glance, it's perfect.

However, its limitations quickly become apparent when it enters actual operation.

1. No exception handling,
2. Difficult to extend,
3. The whole thing needs to be re-examined even for small changes,
4. Poorly designed permissions,
5. Sensitive data is exposed as is,
6. Deployed without any security considerations

It's like a house with a building,

but no plumbing or electricity connected,

and the doors don't lock.

It's like having a model home,

but the actual residence hasn't been built yet.

This part is important

AI can build buildings.

It can also create model homes.

But placing that building within actual life,

and continuously adjusting it to fit the situation and environment

is human judgment and experience.

AI creates the structure.

Humans create context and responsibility.

AI creates a space that can be shown.

People turn that space into a place where they can live safely.

The Role of Developers Will Not Disappear

I believe the role of developers will not diminish in the future.

Rather, it will change.

Now, developers will face the question of

not "who can write code faster," but

"who better understands reality and risks."

Those who have experienced the field,

gone through operations,

and directly confronted user inconveniences and potential accidents

will complete the product.

Conclusion

AI builds buildings quickly.

And it creates model homes that look very impressive.

However, it is people who make those buildings truly come alive.

Code can be generated,

but environments and risks cannot.

Ultimately, the product is completed

based on the decisions of humans who have experienced the field.