Context Engineering in AI Applications

Context engineering reframes how practitioners compose LLM inputs, covering RAG, few-shot learning, memory, and tool calling as first-class design decisions. Critical failure modes like context rot and lost-in-the-middle degradation are identified, directly impacting production reliability for any team building LLM-powered applications.