This Anthropic engineering blog post details best practices for structuring context windows to maximize AI agent performance on complex, multi-step tasks. It covers strategies for managing conversation history, tool call results, memory summarization, and information prioritization within limited context budgets. The guide is aimed at developers building production-grade agentic systems who want to avoid common context management pitfalls.
