#execution-traces News & Analysis

2 articles tagged with #execution-traces. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 86/10

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Workflow-to-Skill: Skill Creation via Routing-Workflow-Semantics-Attachments Decomposition

Researchers introduce W2S, a framework for automatically constructing high-quality skills for large language model agents by decomposing execution traces into workflow structures, semantics, and attachments. The approach outperforms traditional summarization methods by 10.5%, demonstrating that treating traces as executable specifications rather than text yields more reliable agent behavior.

AIBullisharXiv – CS AI · Mar 96/10

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XAI for Coding Agent Failures: Transforming Raw Execution Traces into Actionable Insights

Researchers developed an explainable AI (XAI) system that transforms raw execution traces from LLM-based coding agents into structured, human-interpretable explanations. The system enables users to identify failure root causes 2.8 times faster and propose fixes with 73% higher accuracy through domain-specific failure taxonomy, automatic annotation, and hybrid explanation generation.