Anthropic executives said companies should not respond to rising artificial intelligence costs by cutting back or halting use. They stressed that operational strategies that produce the same results at lower cost matter more than blanket budget caps. They pointed to risks such as unapproved employee adoption of AI models that can suddenly inflate spending. They also linked the debate to broader questions among U.S. companies about AI returns and to intensifying price competition among chatbot providers.

As AI coding tools spread, developers are increasingly using the term \"harness engineering\" to describe designing how AI is directed and used. An Su-bin (안수빈), a research engineer at Asteromorph, defines it as \"giving hands and feet to AI work\". The concept covers structuring tasks through an LLM context window, setting system prompts, using retrieval-augmented generation and calling tools. Related ideas include context engineering, reusable \"skills\" and multi-agent patterns.