Researchers have developed PromptResponse, a study on optimizing prompts for large language models (LLMs) used in coding tasks. They found that consistent formatting, especially JSON, improves generation efficiency and syntactic stability with minor gains in task performance. In contrast, tuning LLMs resulted in significantly degraded task performance without significant improvements elsewhere. The study suggests that low-effort reformatting can yield measurable improvements, while model alignment is crucial for tuning. --- Why it matters: This research matters to engineers because it provides insights into how to optimize prompts for LLMs, which are increasingly used in software development pipelines. Understanding the impact of prompt formatting and tuning on task performance can help developers improve their workflows and reduce errors. Source: https://arxiv.org/abs/2608.21074