Nanolang: A tiny experimental language designed to be targeted by coding LLMs (github.com)

NanoLang, a newly announced minimal programming language, is designed specifically for coding by large language models (LLMs). With a focus on unambiguous syntax and mandatory testing, NanoLang allows for easy readability and AI code generation while transpiling to C for optimal performance. The language features a true self-hosting capability through a structured bootstrap process and includes essential language components such as static typing, generic types, and a standard library that is continuously expanding. This development is significant for the AI/ML community as it addresses common challenges in LLM code generation, specifically ambiguity and the need for rigorous testing. By enforcing mandatory tests for every function, NanoLang enhances code quality and reliability, which is crucial for applications relying on AI-generated code. The language supports a wide range of platforms, including multiple Linux distributions and macOS, via WSL2 for Windows, making it accessible to a broad audience. As a lightweight and efficient language, NanoLang positions itself as a valuable tool for developers looking to leverage AI in programming.