SIFT uses AI judges to make coding-agent self-improvement cheaper
MIT and Sakana AI researchers have developed SIFT, a framework that uses an AI judge to help select promising changes to coding agents before spending heavily on benchmark tests. In reported experiments, it improved results on several codin
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