Do AI tools really increase programmer productivity? - not necessarily...

In the article on Second Thoughts, the author discusses a phenomenon termed 'AI coding slowdown.' In the context of the growing interest in artificial intelligence, particularly in the area of code generation, the author highlights certain limitations that hinder further progress in this field. Various factors affecting the effectiveness and quality of codes generated by AI are mentioned, including limitations in algorithms, the repertoire of available data, and challenges related to users' interpretation of the code. It is strongly emphasized that simply increasing computational power is not enough; we need to thoroughly investigate how artificial intelligence interprets and generates code. The conclusions point to the need for an interdisciplinary approach that combines programming with user psychology and computer science theory to fully leverage the potential of AI in code creation.