A formal degree and algorithmic problem-solving is the answer. Always has been

Working with surgical precision, a scalpel demands years of practice and lifelong mastery before it is entrusted to even the most capable hands. One might expect a professional trained in handling such a delicate instrument to perform flawlessly. However, even with their expertise, they are bound to make mistakes. This analogy is drawn when contemplating the intricate task of incorporating AI into software development.

To ensure the highest level of responsibility and quality, a stringent filter is needed for individuals seeking to utilize AI for programming purposes. Despite possessing neither a formal computer science education nor engaging in extensive coding practice, the author has successfully built software solutions throughout their career, driven by a passion for problem-solving.

Nevertheless, they have encountered numerous developers lacking formal education or adeptness in algorithmic problem-solving, resulting in subpar performance. These individuals often prioritize minor aesthetic concerns, such as file imports or text wrapping preferences, over essential coding principles. Despite their seniority, they fail to understand the complexity of robust engineering.

The author categorizes this group into three distinct types: those focusing on the wrong aspects of software development, those with superficial knowledge of engineering complexity, and those who lack fundamental understanding, relying on soft skills and political maneuvering instead. A formal computer science degree, even at a reputable institution, provides a groundwork in computer systems and fosters a deeper appreciation for their intricacies.

While hands-on experience cannot entirely replicate the depth gained through education, the author believes that the depth of comprehension obtained through rigorous study cannot be achieved merely through job experience, particularly in an AI-dominated world.