In August 2008, the concept of clean code, which had existed only as a document among developers, became clearer with the publication of Robert C. Martin's book <Clean Code>. Now, it has become a must-read for developers, but recently, questions have been raised about the necessity of clean code. As frequent iterations and rapid failures have become the mainstream method, questions are being raised about maintaining clean code.
However, clean code improves the development process and makes the code more readable and maintainable. The importance of performance is especially important in performance-sensitive software such as games or embedded systems. In real services, it is important to find a balance between performance and clean code, which requires basic knowledge, domain understanding, correct abstractions, pragmatism, flexibility, and attention to code and team.
And, personally, I think that Code Generators will solve these concerns. In fact, Code LLaMa and Copliot X released today are of great help in writing clean code.
Questions to consider
Clean Code vs. Performance Balance: How do we find the balance between clean code and performance? In what situations should we sacrifice performance and in what situations should we sacrifice clean code?
Importance of domain understanding: How can we judge whether performance or clean code is more important in a given domain? It is a question worth considering how domain knowledge affects the efficiency and structure of code.
Coding for Teams and Users: How does balancing performance and clean code impact team productivity and user experience? What impact does code quality and performance have on the final product?
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