AI's Language Problem: Security Risks Nobody Talks About

A discussion on the security and reliability risks of using AI as a translation layer between programming languages and ecosystems. The conversation explores how modern systems are inherently multi-language (Python, JavaScript, Java, WebAssembly), glued together by JSON over HTTP, and how this creates gaps between developer intent and actual knowledge of language semantics. The speaker argues that tools like Temper, a language that transpiles to multiple target languages, can reduce manual review burden, enable shared type definitions across system boundaries, and complement AI-generated code by applying traditional compiler methods to produce more reliable software.