What is Context Engineering?

Learn why context engineering has become the most critical AI skill since 2024, surpassing prompt engineering in importance as large language models now support 200,000+ token context windows. Discover the fundamental shift from focusing on how you ask AI questions to managing what information your AI receives. Explore three critical context pitfalls that can undermine AI performance: context poisoning (when irrelevant or harmful information contaminates the input), context distraction (when too much information overwhelms the model's focus), and context clashing (when conflicting information creates inconsistent outputs). Master practical solutions including Retrieval Augmented Generation (RAG), context compression techniques, and validation methods to build more reliable AI systems. Understand how agentic applications automatically manage context and implement production-ready context management systems through hands-on scenarios. Gain insights into LangChain for agentic applications, context window management techniques, and real-world implementation strategies essential for AI engineers, developers, and anyone working with large language models.