The article argues that the rise of AI and LLMs will increase the demand for programmers rather than decrease it, as efficient tools will lead to higher productivity and a growing backlog of work. This phenomenon, illustrated by Jevons Paradox, shows that as programmers become more capable, new opportunities and challenges arise, particularly in coordination and skill utilization among developers. The author emphasizes the importance of adapting management practices to keep pace with these changes in productivity.

The article discusses the author's approach to coding, likening it to the precision of a surgeon who focuses on critical tasks while delegating secondary tasks to AI tools. The author emphasizes the importance of leveraging AI to handle grunt work, thus allowing for greater concentration on meaningful design work and enhancing productivity. Additionally, the article reflects on the evolving role of AI in programming and its implications for team dynamics and status hierarchies.