Context Engineering

Context engineering is the practice of carefully designing and organizing the information you give to an AI model so it can do its job better. Think of it like preparing everything an AI needs before it starts working (including providing the right instructions, examples, background knowledge, and conversation history), all put together smartly so the model gives you the best possible answer. Instead of just asking a question and hoping for the best, you are building the perfect "environment" of information around the AI to guide it toward success.

Visit the following resources to learn more:

• @article@Context Engineering Guide
• @article@Effective context engineering for AI agents
• @article@How to Perform Effective Agentic Context Engineering
• @video@Context Engineering vs. Prompt Engineering: Smarter AI with RAG & Agents