Context engineering: the art of feeding LLMs
You build a RAG pipeline, connect it to Azure OpenAI, and the answers come back… meh. Generic. Sometimes it ignores the context you sent. Sometimes it makes things up. The model is powerful, but the input you send determines 80% of the output quality. Context engineering is the discipline of assembling that input so the model gives you exactly what you need. It is not “prompt engineering” (which became a buzzword). It is actual engineering: structure, constraints, trade-offs. ...