Articles
Effective Context Engineering for AI Agents
Anthropic's Applied AI team makes the case that context, not the prompt, is the scarcest resource in a production agent, and lays out concrete tactics for curating it: tighter tool definitions, deliberate compaction between turns, and structured note-taking instead of just stuffing more into the window. I've started treating "what's actually in the context window right now" as its own design question after reading this, rather than assuming bigger windows solve everything. A natural, more tactical follow-up to Anthropic's earlier "Building Effective AI Agents" piece.