Introduction: The Rise of AI and Personal Reflections
In recent years, AI technology has made remarkable strides, bringing significant changes to the fields of programming and system development. Where once the focus was on “how much code one could write” or “how well one could memorize syntax,” the spotlight has now shifted to “how effectively AI can be utilized.”
In daily work and the launch of new services, the opportunities to harness the power of AI are steadily increasing. Especially when transforming a business idea into a concrete product, the ability to generate ideas and refine them through dialogue with AI has become more important than ever.
Coding in the Era of AI Delegation
The rapid evolution of AI has made it possible to outsource even complex coding tasks. When building a prototype for a new service, it's become common to begin by having AI generate a basic code structure, then add personal customizations and refinements as needed.
What proves most critical in this process is having a clear image of what you want to create. AI is merely a tool; the driving force behind innovation lies in the human ability to envision what kind of business to realize and what problems to solve. This ideation capability is becoming one of the core roles of humans in the age of AI.
The Rising Importance of “Comprehension” and “Communication” Skills
As generating code with AI becomes more commonplace, a new skill set is emerging as vital: the ability to understand, evaluate, and refine AI-generated output.
Instead of simply using the code as-is, it’s important to examine why the code was written a certain way and identify what needs to be modified to match specific requirements. This involves deep reading and critical thinking.
Additionally, giving accurate instructions to AI requires a solid grasp of fundamental programming concepts and a broad understanding of available technologies. As interacting with AI becomes more conversational, the ability to communicate subtle nuances effectively is increasingly essential.
Customization and Foundational Knowledge: Why They Matter
Adapting AI-generated systems to real-world operations is becoming more frequent. Doing so requires the ability to anticipate what must be changed in order to deliver on specific needs.
For instance, integrating APIs or incorporating external services often means modifying the base code provided by AI. This makes it all the more important to build a strong foundation in computer science and technical principles. Solid basic knowledge enables users to make meaningful adjustments and avoid potential pitfalls.
Challenges in Japanese Language Environments and the Human Role Ahead
AI still struggles with nuances specific to the Japanese language or unique operational requirements. There have been instances where AI-generated code didn’t function properly in a Japanese language environment, and identifying the root cause of such bugs proved time-consuming.
This is precisely where human strengths shine — namely, the abilities to detect problems and resolve errors. Relying blindly on AI outputs can be risky; the capacity to independently test, verify, and correct results will only grow in importance moving forward.
Conclusion: Toward a Future of Symbiotic Evolution Between AI and Humans
The evolution of AI is rapidly transforming how we work and what skills we need. Yet, no matter how intelligent AI becomes, the decisions around “what to create” and “what value to offer” remain firmly in human hands.
To truly unlock AI’s potential, we must cultivate not only planning and conceptual skills but also reading and communication abilities — continually updating our foundational knowledge along the way.
By complementing and enhancing each other’s strengths, humans and AI can together build a better future. With that aspiration in mind, the journey of exploration and challenge continues.