Show HN: Axis – A semantics-first logic language co-designed with AI (github.com)

Axis has been introduced as a novel approach to programming languages, focusing on a semantics-first design that facilitates collaboration between humans and AI systems. Unlike traditional programming languages shaped predominantly by human needs, Axis creates a minimal and deterministic semantic layer intended for AI to reason about and execute with high reliability across various languages. Instead of being a general-purpose programming language, Axis acts as a semantic substrate for AI-native reasoning, aiming to establish a common framework that can unify AI-generated code across different ecosystems. The significance of Axis lies in its potential to reshape how we think about programming languages and AI collaboration. By formalizing semantics that avoid ambiguity, Axis allows AI to engage more effectively in the programming process, serving not just as a tool but as a co-designer. This means that while humans define intent and set constraints, AI can explore structures and propose refinements quickly. The early-stage research will clarify core semantics and refine the interaction between AI and human designers, ultimately aiming for a universal vocabulary and reproducible semantic substrate that enhances consistency in cross-language execution. Feedback from the community is encouraged as Axis evolves into a foundational element for future AI-driven programming paradigms.