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CodeMidas: Scaling Agentic Coding RL Environments from Code Itself

82 upvotes · 18 SEP 2026 · Bowen Ye, Lei Li, Shicheng Li et al.

This paper creates a system called CodeMidas that turns existing open-source code into environments for training coding agents using reinforcement learning. Practitioners might care because it could lead to more diverse and effective coding agents that can learn to fix issues, construct code, and verify their own work.

reinforcement learningagentic codingopen-source codebasesprogramming languagestechnical domainstask-specific input