Coding AI agents are becoming practical operators for long-running machine learning (ML) workflows. They can inspect repositories, set up runtimes, resolve build issues, launch experiments, monitor execution, analyze metrics, and summarize results.

For reinforcement learning (RL) research, this matters because meaningful metrics often appear only after the essential experiment infrastructure is in place. Autoresearch is an open source Python project by Andrej Karpathy for automating AI and ML model training.

With this approach, autonomous AI agents translate high-level goals into hypotheses, edit and test a real codebase, keep metric-improving ideas, and hand results back to the human researcher.…