AI RESEARCH
OmniCode: A Benchmark for Evaluating Software Engineering Agents
arXiv CS.CL
•
ArXi:2602.02262v3 Announce Type: replace-cross LLM-powered coding agents are redefining how real-world software is developed. To drive the research towards better coding agents, we require challenging benchmarks that can rigorously evaluate the ability of such agents to perform various software engineering tasks. However, popular coding benchmarks such as HumanEval and SWE-Bench focus on narrowly scoped tasks such as competition programming and patch generation. In reality, software engineers have to handle a broader set of tasks for real-world software development.