May 9, 2026
Code Chaos: Nobody Knows Anything
Read Programming as Theory Building
This old coding essay has people yelling that the real problem is code nobody understands
TLDR: The article argues that good software depends less on the code itself and more on people sharing a clear mental understanding of how it works. Commenters turned that into a bigger fight about rushed work, AI-generated code, and whether modern programming is becoming a giant pile of unreadable mystery meat.
A decades-old essay about programming somehow turned into a very 2026 panic attack about modern software. The article’s big idea is surprisingly simple: writing software isn’t mainly about typing instructions into a computer, it’s about building a clear mental picture of how the whole thing works and sharing that picture with other people. In other words, the code is not the whole story — the understanding is. And the comments? Oh, they were ready.
The loudest crowd basically screamed, “YES, THIS IS THE PROBLEM!” One commenter said too many people obsess over shipping tiny features fast and stare blankly when anyone brings up the bigger picture, comparing them to “a deer blinded by a car’s headlights.” Another piled on with the most current anxiety possible: in the age of AI-written code, we’re creating mountains of software that humans “don’t understand or haven’t even read.” That landed like a horror movie line for programmers.
But not everyone was ready to join the theory fan club. One skeptic pushed back on the very name “theory building,” arguing that good design is really about breaking problems into the right pieces, not wrapping it all in one grand label. Meanwhile, the funniest comments had a very tired internet energy: one person casually admitted their old posts have “aged terribly in the age of AI,” and another said working with large language models — AI tools that generate text and code — feels bad because the machine never truly grasps the full idea, and worse, you can start losing the plot too. That’s the real drama here: not whether code works today, but whether anyone will understand it tomorrow.
Key Points
- •The article presents Peter Naur’s *Programming as Theory Building* as a framework for understanding software development and maintainability.
- •It states that programming is fundamentally about building a mental model of the program, its requirements, and its surrounding context.
- •The article argues that code, documentation, tests, diagrams, and architecture are secondary artifacts that primarily help communicate this understanding.
- •It says maintainable software practices are often treated as separate tasks even though they share the goal of expressing the design intention of the program.
- •The article connects Naur’s idea to design patterns, Domain-Driven Design, and Intellectual Control as methods for communicating or preserving software understanding.