Except that the participants were thrown into tasks cold, seemingly without even the most basic prep one would/should do before throwing AI at a legacy codebase (sometimes called "LLM grounding" or "LLM context bootstrapping"). If the participants started without something like this, the study was either conducted incorrectly or was designed to support a certain conclusion.

  LLMs.md
  ├── data_model.md
  ├── architecture.md
  ├── infrastructure.md
  ├── business_logic.md
  ├── known_issues.md
  └── conventions.md