Code Consistency Achieved: LLMs Follow Rules Through Style Mimicry!

This research reveals an exciting new insight into how Large Language Models (LLMs) maintain coding style consistency. By observing and mimicking existing code, these models dramatically reduce rule violations over extended coding sessions, opening new avenues for reliable AI-driven development.

• •LLMs' adherence to coding rules significantly improved by mimicking code style.
• •File-based coding tasks showed a dramatic reduction in rule violations.
• •The study focused on specific Python coding rules and evaluated the impact on Claude Opus.