Context Engineering - a complete guide | Learn AI Agents

AI agents are getting more powerful — but there’s a problem: giving an AI more context doesn’t always make it smarter. In this video, we break down Context Engineering — the discipline of giving AI agents the right information, at the right time, in the right format. You’ll learn: • What context engineering actually is • Context engineering vs. prompt engineering • What can go into an AI agent’s context • The 4 core operations: Write, Select, Compress & Isolate • How context engineering works in coding agents • RAG, memory, tools and how they fit into context • Context poisoning, distraction, confusion and clashes • How to build a practical context engineering workflow • Why managing context is becoming critical for autonomous AI agents The key idea is simple: The best agent isn't the one with the most context. It's the one that gets the right context at the right time. If you're building AI agents, coding agents, RAG systems, LLM applications, or agentic workflows, this guide will give you a practical mental model for thinking about context. ⏱️ Chapters 00:00 — Intro 01:01 — What is Context Engineering? 02:20 — Why Context Engineering Matters 03:06 — What Goes Into Context? 05:04 — The 4 Operations of Context Engineering 09:17 — Context Engineering in a Coding Agent 11:28 — Context Failure Modes 13:40 — Context Engineering as an Optimization Problem 14:20 — Building a Context Engineering Workflow 15:22 — Final Thoughts AI BITES KEY LINKS Website: https://www.ai-bites.net YouTube: https://www.youtube.com/@AIBites Twitter: https://twitter.com/ai_bites​ Patreon: https://www.patreon.com/ai_bites​ Github: https://github.com/ai-bites​ #ContextEngineering #AIAgents #AI #LLM #PromptEngineering #RAG #GenerativeAI #AgenticAI #CodingAgents