Design Pattern

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

Learn how to get the most out of the context window in Amp, with the least amount of work.

Manus approaches to context engineering.

The blog explores how to apply practical context engineering techniques using Agno to build AI agents that are faster, more efficient, and better at collaboration. It covers core techniques that include crafting precise system messages, selectively managing context to reduce token use, applying few-shot learning to teach behavior, and coordinating multi-agent teams effectively.

How to test agent ideas in hours using Claude Code SDK without building orchestration infrastructure - proven methodology from consulting engagements

This post shares the local optima Manus arrived at through our own "SGD". If you're building your own AI agent, we hope these principles help you converge faster.

TL;DR Agents need context to perform tasks. Context engineering is the art and science of filling the context window with just the right information at each step of an agent’s trajectory. In this post, we break down some common strategies — write, select, compress, and isolate — for context engineering