RFC: A proposal to replace API integration with LLM Semantic Translation (github.com)

A new proposal for a Semantic Integration Layer (SIL) aims to transform how disparate software systems communicate by leveraging Large Language Models (LLMs) as universal protocol translators. This shift from strict API integration to semantic interoperability seeks to bridge the gap between aging legacy systems and modern applications, overcoming the limitations of conventional methods like REST or SOAP, which often lead to API fragility and legacy debt. By using Natural Language as the universal interface, SIL could streamline interactions, reduce maintenance costs, and diminish reliance on rigid interfaces that often break with even minimal changes. This initiative is particularly significant for the AI/ML community as it addresses the growing complexity and expense associated with system integration in large-scale IT environments. Many organizations struggle with the costs of maintaining outdated systems that cannot adapt to new technologies. By allowing LLMs to facilitate communication, the SIL could not only enhance interoperability but also foster innovation by freeing developers from the constraints of existing coding standards. This proposal could usher in a new era of fluid software ecosystems where integration no longer stifles progress, but instead promotes seamless collaboration across diverse technologies.