MCP & context engineering
Context Engineering Explained
The evolution of prompt engineering into a broader, systems-level skill.
Context engineering is the practice of deliberately deciding what information — instructions, retrieved documents, tool results, conversation history, memory — a model receives before generating a response, and in what order and format.
It has emerged as prompting alone stopped being enough: as systems grew to include retrieval, tools, and memory, the real skill shifted from writing a clever single prompt to designing the entire information flow the model sees.
Key takeaways
Why "prompt engineering" was not the whole story
Early AI applications were often just a single prompt template with a user’s question inserted. As systems grew to include retrieved documents, tool results, and multi-turn memory, the real engineering challenge became curating everything the model sees, not just wording one instruction well.
Context engineering names this broader discipline: managing the full information payload, not just the static parts of it.
What good context engineering actually involves
This includes deciding which retrieved chunks are relevant enough to include, how to summarize or truncate long conversation history, how to format tool results so the model can use them correctly, and how to order information so the most important parts are not lost or ignored.
Every one of these decisions measurably affects output quality, often more than tweaking the wording of the core instruction.
Common context engineering mistakes
Including too much irrelevant context dilutes the model’s attention and can push out genuinely important information. Including too little forces the model to guess or hallucinate. Poorly formatted context (unclear structure, missing labels) makes even relevant information hard for the model to use correctly.
Treating context as a carefully curated, limited resource — rather than "just include everything" — is the core mindset shift context engineering requires.
Put this into practice