Context Engineering

Forget prompt engineering—it’s time to think bigger. We dive into Context Engineering, the emerging paradigm that’s taking over how we build, ship, and scale LLM applications. From prompting to RAG to agentic tool use, it all hinges on what we put in the context window. Inspired by leaders like Karpathy, Tobi Lütke, and LangChain, we explore how to move from traditional prompt hacks to robust, production-grade Context Engineering best practices. We’ll walk through strategies like write, select, compress, and isolate, break down real-world examples, and even build a live agentic-RAG application to show how it all comes together. Whether you're an AI engineer or product leader, this session will help you master the new stack of in-context learning patterns powering tomorrow’s most powerful LLM systems. Join us every Wednesday at 1pm EST for our live events. SUBSCRIBE NOW to get notified! Apply for The AI Engineering Bootcamp today! https://bit.ly/AIEbootcamp LLM Foundations - Email-based course https://bit.ly/4izQVKk Full LLM Engineering Cohort - Open-Source! https://bit.ly/42ha7Xy For team leaders, check out! https://bit.ly/41YtlA7 Join our community to start building, shipping, and sharing with us today! https://bit.ly/43HzDEP Speakers: ​Dr. Greg, Co-Founder & CEO AI Makerspace https://www.linkedin.com/in/gregloughane The Wiz, Co-Founder & CTO AI Makerspace https://www.linkedin.com/in/csalexiuk/ 00:00 – The Big Picture: Why Context Matters in AI 02:17 – Breaking Down the Core Idea of Context Engineering 06:49 – The Driving Force Behind Our AI Discussion 11:23 – Mastering the Art of Putting the Right Data in Context 13:53 – Reasoning Engines: How AI Thinks Like Us 16:17 – Feeding Back Results to Supercharge AI Performance 42:03 – The Tipping Point in Context Engineering Evolution 56:08 – Why Adoption is Still Low — and What’s About to Change 58:31 – The Hidden Rules of Input & Output in AI Systems 1:00:39 – Your Next Step: Join the AI Engineer Challenge