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Scaling AI Agent Handoffs: When Markdown Documentation Falls Short

AI 에이전트 작업의 상태 관리: handoff.md의 한계와 A2CR의 필요성

Why it matters

As AI agent tasks grow longer and span multiple sessions, the simple handoff.md approach reveals critical limitations in state management and cross-client coordination. This explores why context fragmentation becomes inevitable and introduces A2CR as a more structured solution for handling the complexity of long-running AI workflows.

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AI agentshandoff.mdA2CRstate managementsession handoffMCP

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