Jeremy Scheff’s recent piece argues that coding agents have ended the era where programmers earned high salaries by solving complex logic puzzles. The text recalls a time when professionals were paid to define strategy and timelines because ordinary people could not solve technical problems alone. Scheff notes that while large language models offer a continuous gift for those who only want to build working systems, the loss is significant for individuals who derived deep enjoyment from the act of solving difficult problems. This shift removes the core intellectual challenge that previously defined the career path and compensation structure for many developers. The distinction between building systems and solving puzzles remains the key factor in how this transition affects job satisfaction.
The article highlights that the value of a programming role has shifted from the difficulty of the solution to the utility of the output. It suggests that the future belongs to those who can manage the output of AI rather than manually constructing the logic themselves. This change impacts how professionals view their daily work and long-term career goals.
* High pay was tied to the difficulty of the logic puzzle solved
* Regular people previously needed experts to define strategy and timelines
* Coding agents remove the intellectual challenge of building systems from the user
