ChatGPT assists in refactoring distributed systems primarily by understanding complex legacy codebases, identifying redundancies, and pinpointing areas ripe for modernization. It can suggest architectural patterns for migrating monolithic components into microservices or optimizing inter-service communication protocols. By analyzing code semantics and dependencies, ChatGPT helps developers uncover hidden coupling across services, which is critical for planning safe and incremental refactoring steps. Furthermore, it can generate boilerplate code for new service interfaces, data contracts, or configuration adjustments, significantly accelerating the development process. This capability extends to assisting with documentation generation for the refactored system, ensuring clarity and maintainability post-refactoring. More details: https://treo.sh/sitespeed/abcname.com.ua