WHAT I USE
A comprehensive inventory of the physical gear, development tools, terminal settings, and hosting solutions I use to build code and train models.
Development Gear
Primary Engine
High-spec Windows-based workflow machine driving multi-threaded compilation, local neural network training runs, and parallel docker orchestrations.
Monitors & Layout
Dual high-refresh setup arranged for simultaneous terminal logs tracing, code editors, and live browser rendering windows.
Peripherals
Tactile mechanical keyboard customized with brown switches for long coding sprints, paired with an ergonomic precision mouse.
Software & IDE Setup
Visual Studio Code (Insiders)
Primary editor customized with dark glass themes, minimal font layouts (JetBrains Mono with ligatures), and strict ESLint formatting controls.
Terminal & Shell
PowerShell and Windows Terminal configured with Oh My Posh, custom Git branch indicator states, and global speed aliases.
Essential Extensions
Prettier, GitLens, Copilot, Docker Engine integrations, Prisma schemas formatter, and Vim keybindings mapping.
Local Stack & DBs
Runtime Environments
Node.js (LTS), Python 3.11 for AI tasks, and Rust compiler setup for performant system tools.
Databases & Engines
Dockerized PostgreSQL instances for local application schemas, Redis for server-side caching, and MongoDB Compass.
Network & Testing
Postman for API structure verification, Chrome DevTools for client performance audits, and Wireshark for network packet analyses.
Hosting & Services
Frontend Deployments
Vercel and Netlify for rapid previews and static compilation assets distribution.
Cloud Architectures
AWS EC2 instances hosting system workers and Supabase/Prisma client endpoints.