SWE-Atlas is an open benchmark from Scale AI that assesses large-language-model coding agents on realistic software-engineering tasks such as codebase Q&A, test writing and multi-file refactoring inside containerized repositories. It is intended for researchers and developers who want to measure and compare agent performance on end-to-end maintenance work rather than isolated code snippets.