ADSM: Iterative and Hierarchical
The limited output context defines the boundaries for applying Models when working with a codebase. Generation is only possible iteratively: a Model delivers a reliable result when the input context is significantly larger than the output, forming a predictable narrowing. The project is split into small files, each created within a tightly managed context. Repeatability is ensured through fixed knowledge fragments organized as a hierarchical tree—from general principles to the unique data of each source. This structure builds a stable foundation that lets Agents develop large projects without breaking the underlying logic. The full article is available in Russian on Habr.