AI RESEARCH
SEW: Self-Evolving Agentic Workflows for Automated Code Generation
arXiv CS.AI
•
ArXi:2505.18646v2 Announce Type: replace-cross Large Language Models (LLMs) have nstrated effectiveness in code generation tasks. To enable LLMs to address complex coding challenges, existing research has focused on crafting multi-agent systems with agentic workflows, where complex coding tasks are decomposed into sub-tasks, assigned to specialized agents.