Context Engineering
Go beyond single-prompt writing to the discipline of deciding what information a model sees at each step — and what it doesn't.
As AI applications grow past a single prompt, what the model sees at each step matters more than how any one instruction is worded. These lessons cover managing long conversations, feeding retrieval and tool results in cleanly, and keeping multi-step agents from drowning in their own context.
What Is Context Engineering?
Understand how context engineering differs from prompt engineering and why it matters more as AI applications grow complex.
7 min read →Managing Long Conversations and Context Windows
Learn techniques for keeping long-running conversations and agent sessions coherent without exceeding context limits.
7 min read →Getting Retrieval and Tool Results Into Context Well
Learn how to format, filter, and rank external information before it enters a model's context so it actually improves answers.
7 min read →Context Engineering for Multi-Step Agents
Learn how to manage context across the many steps of an autonomous agent so early mistakes don't compound.
7 min read →