A new cheatsheet provides specific techniques for maintaining clean context windows in LLMs. It focuses on reducing noise and managing prompt overhead to improve output accuracy. Developers can use these strategies to lower token costs and prevent model hallucinations. The guide prioritizes practical prompt engineering over complex infrastructure changes for immediate performance gains.