CODESYNC is a data engine that identifies outdated code patterns in LLMs and synchronizes them with the latest library APIs and programming practices.

• Addresses a critical limitation of LLMs: their inability to adapt to evolving code knowledge
• Reduces instances of non-executable code and implementations with suboptimal safety
• Enables more reliable and secure code generation for software engineering
• Creates a methodology for continuous knowledge updating in technical AI systems

This research is particularly valuable for engineering teams relying on AI coding assistants, as it promises to reduce technical debt and security vulnerabilities introduced by outdated programming patterns.

CODESYNC: Synchronizing Large Language Models with Dynamic Code Evolution at Scale