#98 Max: Context Engineering Clearly Explained – The Evolution of AI App Development

If you're still just "prompt engineering," you're falling behind. 🏗️ We're explaining the new, more powerful discipline that pros are using to build real AI applications: Context Engineering.We’ll talk about:A clear explanation of Context Engineering and why it's the necessary evolution of prompt engineering for building autonomous AI agents.The "Anatomy of an AI Agent"—a breakdown of the six essential "organs" every agent needs to function (The Brain, Hands/Feet, Hippocampus, etc.).A deconstruction of a real-world, professional-grade system prompt (the "Prime Directive") for an AI research assistant.The four advanced context engineering strategies that pros use: Writing Context, Selecting Context (RAG), Compressing Context, and Isolating Context (Multi-Agent Systems).Plus, the key difference between a "Personal Shopper" (prompt engineering) and an "Autonomous Store Manager" (context engineering).Keywords: Context Engineering, Prompt Engineering, AI Agents, AI Application Development, RAG, System Prompt, Andrej Karpathy, Large Language Models (LLMs), n8n, LangChain, AI ArchitectureLinks:Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 500+ advanced AI workflows ($14,500+ Value)Our Socials:Facebook Group: Join 248K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials

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