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Coordination of instructions for multiple AI agents

Identify effective mechanisms to coordinate instructions for multiple AI agents operating within the same software repository using AI configuration files.

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Background

As agent-based tooling matures, projects may deploy multiple agents with overlapping or distinct responsibilities. Uncoordinated instructions can lead to conflicts or suboptimal behavior.

Understanding coordination strategies would guide how instructions are scoped, prioritized, and composed to ensure coherent multi-agent operation.

References

Design questions include whether standard schemas could improve interoperability, whether repositories should maintain one centralized file or multiple module-level ones, and how to coordinate instructions for multiple agents.

Context Engineering for AI Agents in Open-Source Software (2510.21413 - Mohsenimofidi et al., 24 Oct 2025) in Conclusion (Section "Conclusion")