MoTCoder addresses LLMs' limitations on complex programming tasks by introducing a modular approach to code generation rather than creating monolithic solutions.

• Transforms challenging coding problems into manageable modules
• Improves code correctness and maintainability
• Enhances LLMs' ability to tackle intricate programming challenges
• Provides a framework for modular instruction tuning

This research has significant engineering implications by advancing how AI systems approach software development, potentially leading to more reliable code generation and better programming assistance tools.

MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks