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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.
Developers building multi-agent systems can now use structured resource versioning and auditable evolution loops to reduce brittle glue code and enable safe, traceable updates to prompts, tools, and agent behaviors during execution.