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  num_examples: 124
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  # SWE-Atlas QnA
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  Codebase QnA is the first benchmark in the SWE-Atlas suite. It evaluates AI agents on deep code comprehension — tracing execution paths, explaining architectural decisions, and answering deeply technical questions about production-grade software systems.
 
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  num_examples: 124
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+ Update 03/30/2026: We released the dataset in [harbor](https://github.com/harbor-framework/harbor) format in our official GitHub repo for [SWE-Atlas](https://github.com/scaleapi/SWE-Atlas).
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+ We recommend using the harbor scaffold with modal runtime sandboxes as the official way to run the benchmark.
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  # SWE-Atlas QnA
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  Codebase QnA is the first benchmark in the SWE-Atlas suite. It evaluates AI agents on deep code comprehension — tracing execution paths, explaining architectural decisions, and answering deeply technical questions about production-grade software systems.