Thought Leadership
Developers are embracing Loop Engineering. Instead of relying on manual instructions, automated loops now independently orchestrate the work of AI coding assistants.
In the development of AI-powered applications, a new approach called Loop Engineering is gaining traction. Leading software engineers are moving away from directly guiding coding assistants through human prompts and are instead using automated loops to control the entire process.
Boris Cherny, the developer behind the Claude Code tool, explained in an interview that he now rarely writes his own prompts. Instead, an agent takes over the task. Cherny described the process:
“It’s an agent that tells Claude what to do. I don’t write the prompt anymore. Claude writes the prompt, and now I’m talking to this new Claude that kind of coordinates.”
Boris Cherny, developer of Claude Code
He considers this form of sequential orchestration one of the most significant advances in his work for the coming decade.
Moving Away From Manual Input in Coding Assistants
Other technology experts are also observing the shift toward autonomous workflows. Peter Steinberger, an OpenAI developer and creator of the OpenClaw project, publicly advised users on the platform X to stop manually feeding instructions to coding agents.
He emphasized: “Here is your monthly reminder that you should no longer instruct coding agents. You should design loops that instruct your agents.”
As a practical example, Steinberger described a loop that activates the Codex system every five minutes to manage repositories and distribute tasks across multiple threads in parallel.
The End of Traditional Prompt Engineering
Claire Vo, founder of the ChatPRD platform, also pointed out that manual keyboard input is no longer necessarily required for an agent to complete tasks on behalf of a user.
According to Addy Osmani, Director at Google Cloud, the era in which generative AI coding tools were directly instructed by humans is either already ending or is approaching its final stage.
(ll)
