The Midas Touch for Code: scaling AI coding environments straight from source
maier_ak · x · 2026-09-30
maierak shares the paper "The Midas Touch for Code: Scaling AI Coding Environments Straight from Source," which proposes scaling AI coding environments and training data generated directly from source code. Peers question it: no head-to-head baseline against issue-based pipelines, single model/seed, undisclosed generation agents, possible repo-benchmark overlap, and no public dataset or licensing — reproducibility remains unclear.
Related event: CodeMidas: Scaling AI coding RL environments straight from source code(2 posts)→
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