3 articles
Prompt engineering was about wording. Context engineering is about deciding which tokens deserve a place in a limited window — and it is now the skill that separates agents that work from agents that almost work.
Strip away the marketing and an agent is a loop with three parts. Understanding those parts tells you exactly why agents fail in production — and which of the failures are worth fixing.
When a RAG system answers wrong, the model is usually not the culprit — the right chunk never made it into the context. Here is how to prove that, and what to fix once you have.
