# Patterns and Anti-Patterns for Building with LLMs

DevFeed: [Patterns and Anti-Patterns for Building with LLMs](<https://devfeed.tech/articles/patterns-and-anti-patterns-for-building-with-llms-28610.md>)

Original publisher: [Read original article](<https://www.marvelousmlops.io/p/patterns-and-anti-patterns-for-building>)

Author: Hugo Bowne-Anderson

Published: 2025-10-27T10:24:35Z

Content type: article

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>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [llms](<https://devfeed.tech/tags/llms.md>), [software-development](<https://devfeed.tech/tags/software-development.md>)

## AI overview

The article presents seven common failure modes in AI application development, described as the "Seven Deadly Sins of AI App Development," and pairs them with practical solutions. The supplied text discusses unrealistic demands for 100% accuracy and granting agents too much autonomy, recommending transparent systems, human oversight, smaller task steps, and opportunities for clarification.

## Source excerpt

A bit about our guest author: Hugo Bowne- Anderson advises and teaches teams building LLM-powered systems, including engineers from Netflix, Meta, and the United Nations through my course on the AI software development lifecycle. It covers everything from retrieval and evaluation to agent design and all the steps in between. Use the code