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Research uses AI to optimize systems algorithms

The article presents ADRS, a framework in which language models generate, evaluate, and refine algorithms for systems performance problems. It reports applying three open-source frameworks to ten tasks in networking, databases, and distributed systems.

Published on December 24, 2025, the article presents ADRS, a framework in which language models generate, evaluate, and refine algorithms for systems performance problems. The research reports results from applying three open-source frameworks to ten tasks across networking, databases, and distributed systems.

The article also describes how trusted performance checkers could enable automated algorithm research across different areas of systems. To assess the findings, consult the original article and examine its methods, tasks, and supporting evidence; the available summary does not provide specific metrics or the publication venue.

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