A new cheatsheet outlines techniques for maintaining clean context windows in LLMs. The guide focuses on reducing noise to improve model accuracy and response reliability. Developers can apply these prompt engineering tactics to lower token costs. It provides a practical framework for managing long-form conversations without degrading output quality.