# Stop Building AI agents

DevFeed: [Stop Building AI agents](<https://devfeed.tech/articles/stop-building-ai-agents-28611.md>)

Original publisher: [Read original article](<https://www.marvelousmlops.io/p/stop-building-ai-agents>)

Author: Maria Vechtomova

Published: 2025-07-07T10:59:56Z

Content type: tutorial

Language: en

Sources: [MarvelousMLOps](<https://devfeed.tech/sources/marvelousmlops.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Development](<https://devfeed.tech/topics/development.md>), [Software Engineering](<https://devfeed.tech/topics/software-engineering.md>), [anthropic](<https://devfeed.tech/topics/anthropic.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [code](<https://devfeed.tech/tags/code.md>), [debugging](<https://devfeed.tech/tags/debugging.md>), [development](<https://devfeed.tech/tags/development.md>), [llm](<https://devfeed.tech/tags/llm.md>), [research](<https://devfeed.tech/tags/research.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

## AI overview

This developer article argues that teams should not begin with AI agents by default. Drawing on failures with a CrewAI research system and other projects, it presents five LLM workflow patterns, explains when agents are appropriate, and discusses safer ways to build them.

## Source excerpt

Maria: Today, the scene is owned by Hugo, a brilliant mind who advises and teaches teams building LLM-powered systems, including engineers from Netflix, Meta, and the U.S.