Researchers propose component-aware feedback for self-evolving programs, which improves the efficiency of LLM-guided evolutionary search by identifying the components that contribute to fitness metric changes. This can lead to faster and more stable program search, especially for multi-component systems. The method is demonstrated on LLM reranking, a multi-objective optimization problem.