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LLMs that ace static code-fixing benchmarks may still struggle to maintain code quality over the long, iterative haul of real-world software development.
An open-source ecosystem for agentic learning, complete with a trained agent and novel policy optimization, promises to accelerate research by providing a standardized, scalable platform.
