Context Engineering in Manus
Manus approaches to context engineering.
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Context Engineering in Multi-Agent Systems
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.
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Effective context engineering for AI agents
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Context Engineering Guide in 2025
Context Engineering: Rapid Agent Prototyping - Jason Liu
How to test agent ideas in hours using Claude Code SDK without building orchestration infrastructure - proven methodology from consulting engagements
Context Engineering for AI Agents: Lessons from Building Manus
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.