EP354: How AI Agents Code Their Own Habits

Title: From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM AgentsSource: http://arxiv.org/abs/2607.07321v1Summary:This work introduces a novel framework for self-evolving agents by enabling them to autonomously synthesize low-level, atomic actions into reusable, higher-order Standard Operating Procedures (SOPs). This dynamic tool-optimization loop represents a major paradigm shift in reducing reasoning overhead and improving long-horizon task execution for autonomous systems.