Matt Steiner
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The paper introduces RADAR, a risk-aware automated code review system, demonstrating that it can significantly reduce review bottlenecks and improve efficiency for AI-generated code without compromising production safety.
This paper proposes Trellis, a data foundation that treats experience graphs from long-horizon agentic tasks as first-class, governed, queryable database state.
Papers
Experience Graphs: The Data Foundation for Self-Improving Agents
Gang Liao, Yujia He, Abdullah Ozturk, Zhouyang Li +21 more
This paper proposes Trellis, a data foundation that treats experience graphs from long-horizon agentic tasks as first-class, governed, queryable database state.