ended5월 11일· 1 sources

Forget Meetings: AI Agents Pivot to 'Stigmergy' for Massive Codebases

AI 에이전트에게 회의는 낭비다: ‘고탄다 스타일’로 구현하는 초효율 협업

Why it matters

As multi-agent systems scale, direct communication creates a token-heavy bottleneck similar to human meeting fatigue. By adopting environment-based coordination through structured signals, developers can build more efficient maintenance workflows that handle large-scale repositories without excessive cost.

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132d
Active
AI agentsGotanda StyleStigmergyMulti-agent coordinationToken efficiency

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