Rajesh Sabbani

Good prompt to study — there’s a lot of value in the article Context Engineering is the New Prompt Engineeringa (in KDnuggets). Below, I summarize its core ideas — and show how you (given your AI-learning & course-building background) can practically apply them . 🔑 What the Article Means: Key Ideas from Context Engineering The article argues that we are shifting from “prompt engineering” (crafting clever, precise prompts) to “context engineering” — designing the environment around the AI: data, memory, metadata, how knowledge is provided. Prompt engineering works well for one-off tasks or experiments, but it doesn’t scale: as soon as an AI workflow becomes complex (multiple steps, memory, external data, tool usage), merely re-writing prompts leads to fragility and inconsistency. Context engineering treats the AI’s entire “context window” — what the model sees: system instructions, user profile/history, relevant documents or data, tools/agents, memory/retrieval ...