A new arXiv paper investigates the effectiveness of coding agents in localizing faults within programs, with and without debugger assistance. The study found that agents based on frontier models like Sol 6.1, Luna 6, and Qwen 3.8 could accurately identify nearly all faults using only source code, even after program transformations. While debugger assistance improved accuracy for some models, it significantly increased token usage, and agents opted for it sparingly when given the choice. AI
IMPACT Demonstrates high fault localization accuracy for coding agents using only source code, potentially reducing reliance on interactive debuggers.
RANK_REASON Research paper detailing model capabilities on a specific task. [lever_c_demoted from research: ic=1 ai=1.0]
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