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Public benchmarks like SWE-bench measure benchmark-shaped problems, not real-world coding tasks. Model providers optimize for those scores, creating a gap between leaderboard results and actual performance on proprietary codebases. Teams must evaluate models on their own tasks to find what truly works.
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