Tired of prompts that fail at scale? It's time to move beyond basic commands. This deep dive explains Context Engineering, the real architectural work behind reliable AI. Learn to build systems with RAG, memory, and tools, and evolve from a prompt writer into a true AI architect. 🚀

We'll talk about:

• The core difference between Prompt Engineering (the art of asking) and Context Engineering (the science of informing).
• Why even perfect prompts have a "glass ceiling" and the limitations they can't overcome on their own.
• The Four Pillars of Context Engineering: Memory, Retrieval-Augmented Generation (RAG), Tool Use, and System Prompts.
• The crucial mindset shift from being a "prompt writer" to becoming a true AI Architect.
• How these two disciplines work together to build reliable, scalable, and genuinely smart AI agents that don't hallucinate or forget.
• Real-world examples of how these principles are applied to create advanced chatbots, personal assistants, and data analysis systems.

Keyword: Context Engineering, Prompt Engineering, LLM, Generative AI, RAG, AI Agents, AI Tools

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