Real-SWE: Benchmarking AI models on private, real-world, enterprise codebases
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Real-SWE is a benchmarking framework that evaluates AI models on actual enterprise codebases rather than public datasets, providing a more realistic assessment of their software engineering capabilities in production environments.
Why it mattersThis addresses a critical gap for teams evaluating AI coding assistants: public benchmarks often don't reflect the complexity, scale, and proprietary nature of real enterprise code, so Real-SWE helps identify which models actually perform well on internal systems.
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