Abstract: Flaky tests are problematic because they non-deterministically pass or fail for the same software version under test, causing confusion and wasting development effort. While machine learning ...
235 production-ready Claude Code skills, plugins, and agent skills for 12 AI coding tools. The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI ...
We evaluate DeepCode on the PaperBench benchmark (released by OpenAI), a rigorous testbed requiring AI agents to independently reproduce 20 ICML 2024 papers from scratch. The benchmark comprises 8,316 ...
Deploying a new machine learning model to production is one of the most critical stages of the ML lifecycle. Even if a model performs well on validation and test datasets, directly replacing the ...
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