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This talk explores how to leverage Large Language Models (LLMs) to enhance Continuous Integration (CI) workflows and regression analysis. Learn how to quickly implement off-the-shelf LLMs like Anthropic's Claude Sonnet 3.5 in software development processes, with practical examples using LLVM buildbots. Discover techniques for efficiently identifying problematic commits without time-consuming bisection processes, analyzing commits when investigating unusual regressions, and understanding both current limitations and future possibilities for LLM integration in performance analysis and CI automation for open source projects.
