Context is a critical but finite resource for AI agents. In this post, we explore strategies for effectively curating and managing the context that powers them.

After a few years of prompt engineering being the focus of attention in applied AI, a new term has come to prominence: context engineering. Building with language models is becoming less about finding the right words and phrases for your prompts, and more about answering the

Context refers to the set of tokens included when sampling from a large-language model (LLM).