What is context engineering and how does it differ from traditional prompt engineering and RAG? A guide for AI-assisted developers.

The New Stack is a publication covering trends and technologies in cloud-native development, DevOps, and software delivery. Developers can learn about containerization, Kubernetes, and cloud computing, as well as explore topics such as microservices architecture, serverless computing, and continuous integration/continuous delivery (CI/CD) pipelines.

The New Stack

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.

Context Engineering: Going Beyond Prompt Engineering and RAG

Context Engineering vs. Prompt Engineering