Socratic-SWE demonstrates that an agent's own solving traces can serve as a scalable, self-improving training substrate — overcoming the limitation of fixed synthetic data pipelines that are blind to the agent's actual weaknesses.
The paper provides a concrete methodological foundation for characterizing SWE agent behavior in real repositories, turning raw trajectory data into disciplined, comparable behavioral profiles across models and task conditions.