Loop Engineering: Iterative AI Agent Development for Software Creation.

The concept of "loop engineering" has emerged as a significant methodology for developing software using AI agents, popularized by figures like Boris Cherny and Peter Steinberger. This approach emphasizes iterative cycles where AI agents continuously refine their work. The author outlines three primary loops crucial for creating new products from scratch. The "agentic coding loop" involves an AI agent writing and testing code until it meets specifications. The "developer feedback loop" describes human developers guiding and refining the agent's output. Finally, the "external feedback loop" incorporates broader user and market input to steer product direction. These loops highlight the evolving human-AI collaboration in software development, where human context and taste remain vital.