Built Naso to bridge the gap between high-performance tensor runtimes and Z3 formal verification so your code is provably correct before it ever runs. Drop a ⭐ on GitHub if you’re into compilers, formal proofs, or quantum systems. 👇
We’re officially live at @naso_lang!
⭐ Star the repo: https://t.co/pEULSgNq2P
📖 Docs: https://t.co/syzLEQb5UL
Try out naso-verify and let me know what features you want to see next!
I spent the last few weeks building a new programming language from scratch.
It’s called Naso, and it’s designed for quantized systems & formal verification.
Here’s why I built it and what makes it different 🧵👇
Clean syntax, explicit linear memory (qalloc(1)), built-in Language Server (LSP), and zero boilerplate.
Built in Rust, designed for high-performance quantum & tensor runtimes. 🦀⚛️
FNSE v1.0.2 is live on PyPI today!
💻 GitHub: https://t.co/OV4cwvDpgd
📖 Documentation: https://t.co/kJH87DWmgz
Star the repo and let me know what you build! 🚀
Most multi-agent frameworks break down the moment you scale past 5 agents. Context window bloat, state synchronization failures, and sky-high token bills take over.
That’s why I built FNSE (Fractal Neural Simulation Engine). Here is how it works 🧵👇