Shared Context

Information that multiple AI agents can access simultaneously to maintain coherent collaboration. Includes project knowledge graphs, state files, configuration documents, and real-time data stores. Effective shared context prevents agents from making contradictory decisions.

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Multi-Agent Coordination Patterns: When One Agent Isn't Enough

Four practitioner-tested coordination patterns for multi-agent Claude Code workflows — fan-out, pipeline, shared-context-hub — with the vault as coordination mechanism and a decision framework for when to split.

Context Engineering Principles: The Mental Models I Use Every Day with AI Agents

Named principles for context engineering — less is more, knowledge gardening, structure over retrieval — discovered through daily agent usage, not academic theory.

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