This article proposes a method for conducting architecture reviews using a multi-agent system. It advocates for structured contracts between agents rather than relying on conversational interactions. The goal is to produce a normalized artifact of findings from the review process. AI
IMPACT This approach could streamline and standardize the process of AI architecture reviews, leading to more consistent and actionable feedback.
RANK_REASON The article describes a specific application of AI (multi-agent systems) for a particular task (architecture reviews), positioning it as a tool rather than a core AI release or research.
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