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Coding agents localize faults with high accuracy using source code alone

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]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Coding agents localize faults with high accuracy using source code alone

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Research paper detailing model capabilities on a specific task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Christoph Daxerer, Johann Glock, Christian Macho, Rudolf Ramler, Martin Pinzger, Josef Pichler ·

    Do Coding Agents Still Need a Debugger? Frontier-Model-Based Fault Localization at the Accuracy Ceiling

    arXiv:2610.36015v1 Announce Type: cross Abstract: Background: To localize a fault, a coding agent can reason from source code alone or use debugger assistance by running the program and stepping through it in an interactive debugger. While earlier agents struggled with static exe…