~/toolsdaily driver

What I reach for.

The languages, frameworks, and tools I'd install on a fresh machine within the first hour. Not a buzzword list — what I actually use, ranked roughly by how often I touch it.

The stack

Languages & frameworks

// What I reach for first. Rust is the one I'm currently learning to argue with.

◆Python◆TypeScript◆HTML / CSS◇JavaScript◇Bash◇C◇Lua○Go○Rust

◆production◇comfortable○exploring

// Mostly Django and FastAPI on the backend. Next.js on the frontend when one is involved.

◆Django◆FastAPI◆Next.js◆Django Ninja◇Django REST Framework◇Flask◇React◇Tailwind

◆production◇comfortable○exploring

// What I'd reach for if you handed me a server today. PostgreSQL, Redis, and Docker do most of the lifting.

◆Linux (Arch / Ubuntu)◆PostgreSQL◆Redis◆Docker◇Celery◇Nginx◇Cloudinary◇GitHub Actions

◆production◇comfortable○exploring

Daily driver

The setup

Editor

NeovimYes, still. The config is always being rewritten.

VS CodeDon't we all?

Terminal

kittyReliable enough that the shiny new terminals still want to be it.

ZshWith enough plugins to make purists uncomfortable.

TmuxMultiple panes. Always. Can't go back.

lazygitGit, but I can actually remember the keybindings.

lazydockerBecause docker ps | grep is not a workflow.

Shell tools

fzfFuzzy-find everything. Everything.

ripgrepgrep, but it respects my time.

batcat with syntax highlighting. Can't unlearn it.

curl / httpieFor when Postman feels like too much.

Linux (Arch btw)Where I do real work.

Ubuntu / DebianServers. Always.

Currently exploring

What I'm cooking.

// updated July 2026

LLMs

API integration, prompt patterns, RAG architectures.

Machine Learning

Fundamentals first. Then the interesting parts.

MLOps

The Ops side I get. The ML side I'm learning.

PyTorch

For the model-building side of the pivot.

MLflow

Experiment tracking. Starting to make sense.

Statistics

Because hand-wavy intuition only gets you so far.

AI Finance

Where systems thinking meets numbers that matter.