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Context engineering refers to the discipline of designing, organizing, and manipulating the context that is fed into large language models (LLMs) to optimize their performance. Rather than fine-tuning the model weights or architectures, context engineering focuses on the input—the prompts, system instructions, retrieved knowledge, formatting, and even the ordering of information.
Context engineering isn’t about crafting better prompts. It’s about building systems that deliver the right context, exactly when it’s needed.
- Why Do We Need Context Engineering?
- Key Techniques in Context Engineering
- Context Engineering vs. Prompt Engineering
- Real-World Applications
- Challenges in Context Engineering
- Emerging Best Practices
- The Future of Context Engineering
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