Loop Engineering Is Replacing Prompt Engineering: The New AI Trend Developers Are Embracing

Traditional prompt engineering is being replaced by a new method known as "loop engineering." Boris Cherny, the creator of Claude Code, recently told CNBC: "I don't write prompts anymore." He explained that the core shift lies in self-looping agent systems that allow AI to automatically perform multi-step reasoning and execution. Cherny considers this loop capability to be the thing he is most proud of in the next ten years.

OpenAI engineer Peter Steinberger—creator of the popular OpenClaw project—also posted a monthly reminder on X, saying bluntly, "You should no longer manually write prompts for coding agents." ChatPRD founder Claire Vo summed it up succinctly: "This is really a reminder that you don't have to type out prompts with your own fingers to get an agent to work for you." The core logic of loop engineering is to let AI agents autonomously trigger, iterate, and complete complex tasks—developers only need to define goals and loop rules, not write step-by-step instructions.

As this concept rapidly spreads through the AI developer community, major model providers are beginning to natively support loop mechanisms. Cherny emphasized that loop engineering is not simple automation, but a key evolution that shifts AI from "passive response" to "active execution." In the future, users may simply set a goal, and the AI will autonomously call tools, correct errors, and deliver results.

Outlook: The move from prompts to loops represents a paradigm shift in human-AI collaboration. When AI learns to "call itself," the developer’s role transforms from "instruction writer" to "system designer." This could further lower the barrier to using AI, but also raises higher demands for task decomposition and error control.