Context Engineering: Going Beyond Prompt Engineering and RAG

Context engineering is a comprehensive approach to LLM development that goes beyond simple prompt crafting. It involves designing dynamic systems that manage everything an LLM sees before generating responses - including system instructions, conversation history, retrieved documents, tool outputs, and guardrails. Unlike prompt engineering which focuses on crafting individual queries, context engineering treats the entire context window as a curated information environment. It encompasses RAG as one component while addressing broader challenges like token budget management, information positioning, and maintaining consistency across varied inputs. This systematic approach transforms LLMs from basic chatbots into autonomous agents capable of complex reasoning and decision-making.