Loop Engineering
/luːp ˌɛndʒɪˈnɪrɪŋ/
Definition
Designing and operating AI agents so they iterate in autonomous loops to plan, execute, and verify tasks without direct human intervention.
Examples
- • Loop engineering enabled us to build a fully automated data pipeline.
- • The key is the agent self-correcting errors through iterative loops.
Origin
Derived from AI agent design patterns, popularized in 2024.
Core concept in building autonomous AI systems. Agents progressively reach goals through iterative refinement.
One loop cycle usually has three stages:
- Plan: decide what to do next
- Act: call tools to perform the work
- Verify: check the result and feed it into the next loop
Each stage's output becomes the next stage's input, so the agent improves without human intervention.
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