Software engineering when machine writes the code

In 1968, computer scientists identified the "software crisis" - the existing methods of programming were struggling to handle the power of computers. Today, AI coding assistants are accelerating productivity, but concerns arise about understanding the code they generate, the implications for debugging, and how to preserve deep learning in an age of AI assistance. The Jevons Paradox is at play, with more efficient coding tools leading to more code and increased system complexity.