EP275: AI Agents Building Their Own Coding Curriculum

from Learning GenAI via SOTA Papers · host Yun Wu

Title: Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent SkillsSource: http://arxiv.org/abs/2606.07412v1Summary:This work presents a closed-loop self-evolution framework where software agents learn by distilling their own historical solving traces into structured skills. This approach enables agents to autonomously generate and solve a targeted curriculum of tasks, significantly advancing the field of self-improving agentic systems.

Episode metadata supplied by the publisher feed · Published Jun 29, 2026

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EP275: AI Agents Building Their Own Coding Curriculum

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