Context Engineering: Building More Reliable LLM Systems in Production

Context Engineering: Building More Reliable LLM Systems in Production

In LLM-based systems, performance is often driven less by model size and more by what context is provided, in what order, and under which constraints. That is why many teams now talk about context engineering instead of prompt engineering alone.

In short, context engineering is the discipline of turning user intent, tool output, system instructions, conversation history, knowledge base content, and business rules into a context package that the model can use effectively.

Why it matters

Production LLM systems usually fail in familiar ways: