“You shouldn’t be prompting coding agents anymore. You should be designing loops that prompt your agents.” — Peter Steinberger, June 2026
What Is Loop Engineering?
Loop engineering is the practice of replacing yourself as the person who prompts an AI agent. Instead of manually typing each instruction turn by turn, you design the system that prompts the agent for you — a recursive architecture where you define a purpose and the AI iterates until complete.
In its most distilled form:
Loop Engineering = designing the system that discovers work, hands tasks to agents, verifies results, persists state, and decides the next action — on a schedule or until a goal is met.
For roughly two years, the dominant paradigm for working with coding agents was straightforward: write a prompt, read the output, write the next prompt. You held the tool the entire time, one turn after another. Loop engineering marks the end of that era, or at least the beginning of its obsolescence. The agent is no longer a tool you hold — it is a component in a system you design.
Prompt engineering optimizes a single interaction. Loop engineering optimizes the autonomous behavior that surrounds it.