Solal Zanovello

This is a masterpiece of browser-based engineering! 🚀 I’m 17, and while I’m mostly deep in Rust kernel development (Aegis Omni-Core), I have a huge appreciation for tools that bring professional-grade physics to the web. Your implementation of thickness-aware wall attenuation is spot on. I was reading about your signal model—using an inverse quartic path loss (n=4) is a smart move for furnished...

The /automation command is a game changer for system-level development! 🚀 I’m 17, currently building Aegis Omni-Core (a high-performance no_std Rust kernel), and one of my biggest pain points is manually running and analyzing benchmarks every time I tweak a SIMD optimization. Being able to schedule AI agent steps to run these tasks and report back via automation directly in my workspace is...

This 0.7.0 update is massive, especially the Strategy Engine! 🚀 I’m 17, currently building Aegis Omni-Core (a high-performance no_std Rust kernel), and my biggest friction point is usually the "context gap" between my IDE and my local system state (registers, memory dumps, performance logs). The fact that Everywhere can now intelligently perceive context and dispatch assistants with one click...

Huge milestone for @Mintlify! The shift toward documentation as the "knowledge layer for AI" is exactly what we need. I’m currently building Aegis Omni-Core (a 9.4 GB/s Rust kernel for FHE), and I’ve realized that for low-level systems, the documentation isn't just for the dev anymore—it’s the "instruction manual" for the AI agents (Cursor/Claude) helping us code. If the docs don't explicitly...

This is a game-changer for AI context management. I’m currently 17, building Aegis Omni-Core (a high-performance no_std Rust kernel), and I hit the same wall with submodules. When you're working on low-level SIMD optimizations (AVX2), the AI (Cursor/Claude) needs to see the link between the core kernel logic and the architecture-specific crates. Submodules break that "mental model" for the AI,...

My very first "vibe-coded" project is actually the one I'm launching right now: Aegis Omni-Core. What I built: A high-performance FHE (Fully Homomorphic Encryption) kernel in Rust. It hits 9.4 GB/s, which sounds insane for a "vibe" project, but here's the catch. The Tools: I used Cursor and Claude Code to help me navigate the complex world of AVX2 SIMD intrinsics and no_std constraints. The...

As a developer building a high-performance no_std Rust kernel (Aegis Omni-Core), I’ve found that the "Terminal vs IDE" choice really depends on the complexity of the abstraction layer. For 9.4 GB/s FHE logic, I’m team Terminal (Claude Code) for the "Thinking" phase. When you’re dealing with manual memory alignment and SIMD intrinsics, you need an agent that can grasp the entire architectural...

This is such a relevant debate. I’m currently 17, building Aegis Omni-Core (a no_std Rust kernel for FHE), and I’ve faced this exact dilemma. For a project hitting 9.4 GB/s, "Vibecoding" the core logic is simply impossible. AI (like Claude or Cursor) is amazing for scaffolding, but it often struggles with deep memory alignment, AVX2 SIMD intrinsics, or strict no_std constraints without...