AIBullisharXiv – CS AI · 6h ago6/10
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"Skill issues'': data-centric optimization of lakehouse agents
Researchers present a data-centric optimization framework for AI coding agents operating on branching lakehouses, demonstrating that agent skills can be systematically improved through task-verifier pairs and sandboxed execution. The approach treats agent evaluation as state verification rather than output matching, achieving 31.9% accuracy improvements on preliminary tasks.