# Loop Engineering: Designing Evaluated AI-Agent Workflows

DevFeed: [Loop Engineering: Designing Evaluated AI-Agent Workflows](<https://devfeed.tech/articles/the-dirty-secret-behind-loop-engineering-18229.md>)

Original publisher: [Read original article](<https://maximilianocontieri.com/the-dirty-secret-behind-loop-engineering>)

Author: Maxi Contieri

Published: 2026-06-26T20:20:37Z

Content type: tutorial

Language: en

Sources: [Maximiliano Contieri - Software Design](<https://devfeed.tech/sources/maximiliano-contieri-software-design.md>)

Topics: [Loop Engineering](<https://devfeed.tech/topics/loop-engineering.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Agent Harness](<https://devfeed.tech/topics/agent-harness.md>), [Process](<https://devfeed.tech/topics/process.md>)

Tags: [agent-harness](<https://devfeed.tech/tags/agent-harness.md>), [ai](<https://devfeed.tech/tags/ai.md>), [build](<https://devfeed.tech/tags/build.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

## AI overview

This tutorial explains Loop Engineering as a workflow in which a system prompts an AI agent, rather than a person prompting it manually. It identifies four required parts--goal, context, evaluation, and agent--and emphasizes that evaluation provides exit criteria while a harness supplies operational boundaries. It also advocates starting with a narrowly scoped, testable specification and iterating from a failing evaluation.

## Source excerpt

Everyone is talking about Loop Engineering. Apparently, you don't need to program anymore. TL;DR: Loop Engineering is the hottest AI workflow pattern of 2026. But it hides a dirty secret. The Tweet