🎬 Context Engineering Clearly Explained
Video Details
Channel: Tina Huang
URL: https://www.youtube.com/watch?v=jLuwLJBQkIs
Relevance: ⭐⭐⭐⭐⭐
Summary
Tina Huang’s definitive explanation of Context Engineering (CE) — the 2025/2026 successor to Prompt Engineering. CE thesis: the quality of an AI agent’s output is determined not by the prompt template but by the totality of information in the context window: system prompt, few-shot examples, tool descriptions, retrieved documents, conversation history, and structured data. CE is the discipline of designing what goes into that context window.
PUMA Relevance
Context Engineering is the theoretical foundation for PUMA’s four prompting strategies: Strategy 1 (zero-shot = minimal context), Strategy 2 (few-shot-3 = 3 examples in context), Strategy 3 (few-shot-6 = 6 examples), Strategy 4 (CoT = structured reasoning in context). PUMA’s experiment directly tests CE principles: more context → better performance. Essential for Section 2 (Materials and Methods) theoretical background.