4 Design Patterns Behind Every AI Agent

Description

Every AI agent — Claude Code, ChatGPT, Devin, Copilot — is built from just 4 design patterns. Here's the visual breakdown with real Python code for each one. Andrew Ng identified these 4 agentic design patterns as the foundation of AI progress: Tool Use, RAG, Planning, and Multi-Agent. Gartner predicts 40% of enterprise apps will use AI agents by end of 2026 — and every framework (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK) is just a different implementation of these same patterns. In this video, I animate each pattern, walk through real code, and give you a cheat sheet for deciding which pattern to use in your own projects. No framework lock-in required — just the fundamentals. ### Chapters 0:00 The Blueprint Behind Every AI Agent 0:27 Why Design Patterns Matter Right Now 1:13 Pattern 1: Tool Use — The Hands 2:32 Pattern 2: RAG — The Memory 4:08 But What If Agents Could THINK? 4:22 Pattern 3: Planning — The Brain 5:46 Pattern 4: Multi-Agent — The Team 7:19 The Cheat Sheet — Which Pattern When 8:06 Combining Patterns — Real Architecture 8:58 Build Your First Agent ### Tools & Resources Mentioned - Andrew Ng's Agentic AI Design Patterns: https://learn.deeplearning.ai/courses/agentic-ai - Anthropic's Building Effective Agents guide: https://docs.anthropic.com/en/docs/build-with-claude/agent - Google Cloud Agent Architecture docs: https://cloud.google.com/discover/what-are-ai-agents - LangGraph (Agentic RAG): https://docs.langchain.com/oss/python/langgraph/agentic-rag - CrewAI: https://www.crewai.com - OpenAI Agents SDK: https://platform.openai.com/docs/guides/agents ### Join the Community Subscribe to TechWhistle for weekly deep dives into AI agents, developer tools, and the patterns shaping how we build software in 2026. #AIAgent #DesignPatterns #ToolUse #RAG #Planning #MultiAgent #AgenticAI #TechWhistle