Learn AI with KodeKloud - What is Context Engineering?

🧪FREE Labs for Context Engineering: https://kode.wiki/4aD5WbI Context Engineering has replaced prompt engineering as the most critical AI skill since 2024. With LLMs now supporting 200,000+ token context windows, managing what information your AI receives is more important than how you ask. In this video, you'll learn: ✅ Why the AI industry shifted from prompt to context engineering ✅ Three critical context pitfalls: Poisoning, Distraction & Clashing ✅ Solutions using RAG, compression, and validation techniques ✅ How agentic applications manage context automatically 🔬 FREE HANDS-ON LAB Master context engineering through Hands-on Lab: https://kode.wiki/4aD5WbI This interactive lab includes: - Real-world scenarios for all three context pitfalls - Implementation of RAG and compression techniques - Building a production-ready context management system - 25-35 minutes of hands-on learning ⏰Timestamps: 00:00 - Introduction: The Shift from Prompt to Context Engineering 00:53 - Prompt Engineering vs Context Engineering Explained 01:21 - Context Poisoning, Context Distraction & Context Clashing 02:45 - Use cases 03:42 - FREE Hands-On Lab Overview 04:43 - Task 1 - Prompt Engineering vs Context Engineering 05:45 - Task 2 - Context Poisoning 06:29 - Task 3 - Context Distraction 07:12 - Task 4 - Context Clashing 08:06 - Task 5 - RAG Solution 09:00 - Task 6 - Context Compression 09:45 - Task 7 - Capstone 10:25 - Conclusion Perfect for AI engineers, developers, and anyone working with LLMs who wants to build more reliable AI systems. 📚 Resources mentioned: - LangChain for agentic applications - RAG (Retrieval Augmented Generation) - Context window management techniques #ContextEngineering #AI #LLM #MachineLearning #PromptEngineering