Context engineering
Designing what information enters an agent's context window at each step.
Context engineering covers system prompts, tool descriptions, retrieved documents, history compaction and memory — everything the model sees. The goal is to find the smallest set of high-signal tokens that maximises the probability of the desired next action. It matters more for agents than for chat because agents accumulate context over many steps.