The "Caveman" method is a solution for saving tokens when using AI models like Claude code.

Computationally expensive AI models like Claude Mythos can only be used effectively by individuals who spend significant amounts on tokens.

An example of "Caveman" communication reduces an AI response from 69 tokens to 19 tokens.

Claude Code Code leak provides insights into how to program a coding agent to be more efficient and powerful, as the competitive edge in coding assistants lies in clever engineering around the underlying model.

The "Caveman" method can reduce the token count for explaining a React bug from 1,180 to 159 tokens, representing an 87% saving.

The "Caveman" method involves stopping AI models from generating excessive expressive statements.