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Matching papers

SWE-Bench ProMax: Benchmarking Agents on Large-Scale Multilingual Code Refactoring

115 upvotes · 10 AUG 2026 · Yuling Shi, Jinghan Xu, Kelin Fu et al.

This paper introduces SWE-Bench ProMax, a new benchmark for testing AI coding agents on large-scale multilingual code refactoring tasks, which is designed to be more realistic and challenging than existing benchmarks. Practitioners can care about this paper because it provides a rigorous evaluation of current AI coding agents' capabilities on a more representative set of tasks.

AI coding agentscode refactoringmultilingual benchmarkssoftware engineeringprogramming languages

An Empirical Study of Harness Design for Coding Agents

71 upvotes · 17 SEP 2026 · Run-Ze Fan, Zihao Zhang, Simin Ma et al.

This paper investigates how different components of coding harnesses, such as planning, action space, and context management, impact the performance of autonomous coding agents in software engineering tasks. Practitioners might care about understanding how to design harnesses that effectively utilize these components to improve agent performance.

continual learningcoding agentssoftware engineeringharness designplanningaction space