📖 Step 9: AI/LLM#242 / 291
Context Engineering
Context Engineering
📖One-line summary
Designing what information to put into an LLM's context window and in what order.
💡Easy explanation
Designing what to show the AI, what to leave out, and in what order. Like deciding which textbook pages to keep open during an exam — it changes the score.
✨Example
Design what goes into context, and in what order
#1System prompt
#23 retrieved docs (RAG)
#3Prior-turn summary
#4User question
⚡Vibe coding prompt examples
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I want to improve RAG answer quality. Design what order to feed in the top 5 retrieved chunks and what metadata should accompany them.
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Our meeting-notes summarizer keeps blowing the context window. Design a chunking + rolling-summary strategy.
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We're building a codebase Q&A bot. Decide which files belong in the always-loaded context vs. fetched on demand, and write the priority guide.
Try these prompts in your AI coding assistant!