MSCoT introduces a structured Chain-of-Thought approach that improves code generation across multiple programming languages without model retraining.

• Decomposes complex programming tasks through guided reasoning steps
• Effectively handles the challenges of multilingual programming environments
• Works as a plug-and-play enhancement for existing code generation models
• Demonstrates significant performance improvements across diverse languages

This research addresses a critical engineering challenge as software development increasingly requires proficiency in multiple programming languages, offering a scalable approach to improve AI coding assistants for real-world development environments.

MSCoT: Structured Chain-of-Thought Generation for Multiple Programming Languages