This article introduces NERD, a programming language designed for AI to write code with minimal human intervention. It highlights how NERD optimizes code structure for efficient machine processing while remaining legible for human review. The piece argues that as AI continues to dominate code generation, traditional human-readable formats will become obsolete.

Programming language design is facing challenges due to the rise of large language models (LLMs), which can generate code that reduces the need for domain-specific languages (DSLs). As LLMs become more efficient with popular languages, the investment in creating DSLs may deter developers, leading to potential stagnation in language design. The article explores ways in which DSLs can adapt and coexist with LLM advancements, suggesting new approaches to language design that leverage the strengths of both.

A recent survey reveals that large language models (LLMs) are not producing performant code, as many developers still find the output lacking in efficiency and optimization. The findings suggest that while LLMs can assist in code generation, they may not yet meet the standards expected in professional software development environments.