So in the end, the important thing is not the ability to type code well.

Writing code well is less important than the ability to structure thinking. In the AI era, developers' thinking ability is more important.

밤치 194

Write pseudo code,

Divide functions with TDD,

The reason for assembling within the 3-step structure of Module-Class-Method

is not to make the code pretty.

These methods are merely 'tools for structuring thinking.'

  • The power to simplify complex problems

  • The power to divide into module units

  • The power to complete the whole by repeating small successes

  • The power to design flow

  • The power to find causes and restructure

All of these abilities

are much more important than writing good code.

Because AI can also write good code.

However, dividing problems,

designing structures,

and defining meanings

are abilities that AI cannot replace.

AI only assists in implementation,

but only humans can define

"what needs to be implemented."

Therefore,

the real developers of the AI era

are not those who type fast on the keyboard,

but those who can clearly explain to AI what to do.

Pseudo code

becomes the foundation for explaining functions to AI,

TDD

becomes the standard for verifying if the code generated by AI is correct,

and the 3-step structural thinking

becomes the most basic language for handling AI.

Ultimately, what we cultivate in the AI era

is not 'coding skills' but 'thinking skills.'

This thinking ability is

the core asset of an AI Native developer.


And here, the following questions arise

"Then, what is different about an AI Native developer

compared to traditional developers?"

"What is the role of developers needed in the AI era?"

"What kind of person

can work with AI?"

Let's delve into

the answers to these questions in the next article.

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