Why AI Experts Are Moving from Prompt Engineering to Context Engineering
AI system reliability depends more on context engineering than the underlying models themselves. Context engineering involves providing AI systems with relevant conversation history, data, and documents before processing requests, rather than relying solely on individual prompts. This approach explains why some AI applications excel (like context-aware customer service bots that access order details) while others fail (generic response systems). The perceived improvements in AI intelligence often stem from better information architecture and context management rather than advances in the core models.
