Peter Naur's 1985 essay "Programming as Theory Building" has resurfaced in developer discussions, offering a framework for understanding what makes software development genuinely difficult. The author describes how Naur's concept of "theory" fills a linguistic gap—they had long struggled to articulate why writing good code matters, until finding this precise term for that intangible understanding.

Naur argues that code, documentation, and diagrams are secondary to the real work: constructing a mental model of the program, its requirements, and how they connect to the broader system. The programmer's core task becomes learning, retaining, improving, and transmitting this understanding. When you grasp the program's theory, you can evaluate whether proposed changes align with its underlying logic.

This framework reframes familiar practices. Clean code, architecture decisions, documentation, and automated tests all serve to communicate the design intention—viewed separately, they seem disconnected; seen as a whole, they form a coherent communication strategy. Design patterns and Domain-Driven Design similarly help express the mental models embedded in the code. Without understanding the theory, modifications become hacky and feature feasibility becomes impossible to assess.

The essay remains available online, though its copyright status complicates direct linking. Anyone thinking about software quality or team knowledge transfer should seek it out—Naur articulates something fundamental about why programming is difficult and what actually makes it work.