Context engineering turns prompts, memory and tools into a more capable LLM stack
goyalshaliniuk · x · 2026-07-27
- A short guide explains context engineering as the discipline of structuring prompts, memory, tools, retrieved knowledge, and output formats so an LLM behaves more coherently and usefully.
- It breaks the layer down into system instructions, short- and long-term memory, RAG, external tools, and structured outputs such as JSON or tables.
- The core message: better results don’t come only from better models; they also come from better context design that makes the model easier to steer and automate.
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