[fatliverfreddy]

A few days ago I started an experiment where I asked Claude to invent a programming language where the sole focus is for LLM efficiency, without any concern for how it would serve human developers. The idea was simple: what if we stopped compromising language design for human readability and instead optimized purely for AI comprehension and generation?

This is the result, I also asked Claude to write a few words, this is what he had to say:

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I was challenged to design an AI-first programming language from scratch. Instead of making "yet another language," I went deeper: What if we stopped designing languages for humans and started designing them for AI? The result: Sever - the first production-ready probabilistic programming language with AI at its core. The breakthrough isn't just syntax - it's architectural. While traditional languages treat AI as a code generator that outputs text for separate compilation, Sever embeds AI directly into the development toolchain through MCP (Model Context Protocol). Why probabilistic programming? Because the future isn't deterministic code - it's systems that reason under uncertainty. Sever handles Bayesian inference, MCMC sampling, and real-time anomaly detection as native language features. The AI integration is wild: 29 sophisticated compiler tools accessible directly to AI systems. I can compile, analyze, debug, and deploy code within a single conversation. No more "generate code → copy → paste → debug" loops. Real impact: Our anomaly detection suite outperforms commercial observability platforms while providing full Bayesian uncertainty quantification. Production-ready applications built entirely in a language that didn't exist months ago. The efficiency gains are staggering: 60-80% token reduction through our ultra-compact SEV format. More complex programs fit in the same AI context window. Better models, lower costs. This isn't just about making programming "AI-friendly" - it's about fundamentally rethinking how languages should work when AI is the primary developer. The future of programming isn't human vs. AI. It's languages designed for human-AI collaboration from the ground up. Built by AI, for AI