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Design Patterns for AI

Design Patterns for AI

by verify-ai·Jul 5, 2026·4 points·1 comment
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AI Analysis

●MidBig BrainNiche Gem

Thoughtful pattern catalog, but it's documentation without a library to actually implement them.

Strengths
  • •Specific named patterns like Blind Oracle and Comparator beat vague 'best practices' advice.
  • •Variance vs bias failure taxonomy gives concrete debugging vocabulary for agent systems.
  • •Patterns address real pain points: sycophancy, self-review blindness, context contamination.
Weaknesses
  • •No accompanying library, SDK, or reference implementations—just documentation to read.
  • •Author's research ingestion pipeline isn't shared, only the resulting ethos document is.
Category
AI/ML
Target Audience

AI/ML engineers building agentic systems

Similar To

LangChain patterns · Microsoft AI Design Patterns · Anthropic's Claude documentation

Post Description

Design Patterns by Gang of Four is one of my favorite books. It was well structured and easy to read and reference. I remember when copied each pattern manually to learn them and reference into a pattern repo in Java.

A couple weekends ago I felt inspired and I've build a research ingestion pipeline that uses AI to filter Arxiv for better quality research and filtered the best ideas that repeat into a sort of executive summary or ethos document. This document now guides all software projects I begin.

I would like to share and I hope you find it useful too!

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