AI won't write it for you: how to scale a project without drowning in unreadable code

This Habr article explores the challenge of scaling software projects when a developer's cognitive resources are limited. The author emphasizes that as functionality and system complexity grow, the mental load on the programmer increases, inevitably leading to technical debt and unreadable code structures. The piece discusses the importance of early architectural planning to avoid the need for massive system overhauls later. The core dilemma lies in choosing between scaling the project independently with external help versus the risk of losing control over code quality. The author advocates for a disciplined approach to development, where structure and process management take precedence over automation, reminding readers that artificial intelligence is not a panacea for fundamental architectural issues or the maintenance of scalable systems.