CodeMidas is a new method for scaling agentic coding reinforcement learning environments directly from code itself, according to the research. Existing approaches typically rely on development artifacts such as issues and commits, which limits the range of tasks that can be generated. CodeMidas instead draws on open-source codebases to produce diverse tasks with reliable verifiers for training coding agents.
Training capable coding agents via reinforcement learning (RL) requires diverse tasks with reliable verifiers. Open-source codebases offer a rich source of such tasks, while existing methods typically rely on development artifacts such as issues and commits, limiting the range of tasks that can be e
EU-based hosting, git-push deploys, automatic HTTPS, no cold starts. Free tier with a custom domain — perfect for shipping the agent you just read about.