The central argument is that the importance of prompt "tricks"—essentially empirical workarounds for current LLM limitations will decline as the technology matu

The central argument is that the importance of prompt "tricks"—essentially empirical workarounds for current LLM limitations will decline as the technology matures. The truly valuable and future-proof skill is "context engineering". This focuses on providing the LLM with the information required to reason through the task at hand. Although current LLMs present a trade-off between the size of the context and the quality of the output, this is a constraint that we can expect to lessen with future advancements.