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A benchmark built from private production code addresses the contamination risk present in public benchmarks like SWE-Bench, where training data overlap can inflate model scores.
FrontierCode directly addresses a documented flaw in existing coding benchmarks — that passing tests does not equal mergeable code — by introducing maintainability-focused evaluation criteria that reveal current frontier models are far from solving real-world code quality.