The article outlines essential documentation and verification protocols for software engineering when utilizing Large Language Models. It emphasizes the importance of capturing requirements, key decisions, and design goals to maintain clarity in AI-assisted development workflows.
- Store requirements documents directly within the repository.
- Save LLM-generated plan files in a designated plans directory using date-based naming conventions.
- Record session summaries in a summaries folder, ensuring all prompts are included.
- Implement hard gate rules that prohibit guessing runtime state or root causes without evidence.
- Require verification via logs, screenshots, or database queries before proposing fixes.
These practices help ensure accuracy and reliability by forcing explicit verification of code changes and system states rather than relying on assumptions.