评分 6 · 来源：cs.LG updates on arXiv.org · 发布于 2026-04-17
评分依据：Novel evolutionary approach optimizing agent seed (prompt+archive) rather than code directly, fresh perspective on code gen
arXiv:2604.14655v1 Announce Type: cross Abstract: We present AgentGA, a framework that evolves autonomous code-generation runs by optimizing the agent seed: the task prompt plus optional parent archives that initialize a fresh workspace. The outer loop searches over these reusable starting conditions rather than editing code directly. Each generation launches a fresh autonomous run from a reset workspace, while selected parent archives provide inherited artifacts that descendants can inspect and reuse.