AI coding agents have shown great progress on Python software engineering benchmarks like SWE-Bench, and for other languages like Java and C in benchmarks like Multi-SWE-Bench. However, C# -- a prominent enterprise language ranking #5 in the TIOBE index -- remains absent from such benchmarks. We introduce SWE-Sharp-Bench, a reproducible software engineering benchmark for C# featuring 150 instances from 17 repositories. Evaluating identical model-agent configurations across languages reveals a significant performance gap: while 70% of Python tasks in SWE-Bench Verified are solved, only 40% of our C# tasks are resolved. We open-source SWE-Sharp-Bench and our entire curation pipeline.
@article{arxiv.2511.02352,
title = {SWE-Sharp-Bench: A Reproducible Benchmark for C# Software Engineering Tasks},
author = {Sanket Mhatre and Yasharth Bajpai and Sumit Gulwani and Emerson Murphy-Hill and Gustavo Soares},
journal= {arXiv preprint arXiv:2511.02352},
year = {2025}
}