Show HN: Spec – A language-agnostic IR for LLM agents (live demo) (github.com)

Spec, a groundbreaking programming language tailored for Large Language Models (LLMs), was announced as a language-agnostic Intermediate Representation (IR) aimed at transforming how AI agents interact with software systems. Unlike traditional programming languages, which impose human-centric constraints, Spec enables a two-domain architecture that separates semantic specifications from implementation details. This framework addresses significant limitations in current AI-driven development tools by allowing a clean division between what a system does and how it's built, facilitating better collaboration among specialized agents. The significance of Spec for the AI/ML community lies in its ability to enhance context efficiency, modularity, and reusability across various programming languages. It allows agents to work independently on different aspects of a project, promoting parallelization and reducing generation time. Key features include precise traceability of architectural decisions, formal verification of contract compliance across multiple languages, and a robust structure that supports large-scale enterprise development without overwhelming context loads seen in traditional environments. With Spec, AI-driven development could see a paradigm shift, enabling LLMs to produce comprehensive software specifications more efficiently and effectively than ever before.