Researchers investigated how easily specifications written for one Large Language Model (LLM) can be used with another LLM. They tested this by migrating software from Oracle to PostgreSQL using different LLMs like Amazon Kiro and Google Gemini. The study found that specifications are not always portable between models, and the quality of the migrated code depends on the specific model being used. The results suggest that developers should consider the potential issues when working with multiple LLMs in software development. --- Why it matters: This research matters to engineers who work with Large Language Models because it highlights the challenges of using specifications across different models. Understanding these limitations can help developers choose the right tools and workflows for their projects, and potentially improve the efficiency and quality of software development. Source: https://arxiv.org/abs/2608.21208