Does it still make sense to learn traditional software development techniques in 2023?

The article explores the balance between traditional software learning and new technologies in the era of AI-driven development. The author argues that while AI is disrupting classical software engineering—for instance, by using natural language to generate code, thereby replacing some static analysis tools—learning traditional programming fundamentals remains crucial. Just as understanding assembly language was necessary when learning object-oriented programming in the past, mastering AI-driven development in the future will also require a solid foundation of traditional engineering knowledge to handle complex system investigations and meet the demands of high-level positions. The author advises newcomers to dedicate 70% of their effort to the AI field, 20% to core traditional software engineering skills, and 10% to underlying principles, rather than completely abandoning the basics. Future requirements for engineers will be higher; only versatile professionals who possess both traditional proficiency and AI capabilities can avoid becoming low-end programmers who merely issue simple commands, thereby gaining an advantage in their career development.