Tools I use every week.

The stack and setup I rely on for day-to-day delivery.

Core Stack

  • Backend: Python, Django, Wagtail and DRF

    Most backend work is Python-first. Django and Wagtail for product and CMS-heavy systems, with DRF for API services.

  • Frontend: TypeScript, React, Next.js, HTMX and Webpack

    React and Next.js for application work, plus HTMX when server-rendered interactions are faster and simpler.

  • Data and platform: PostgreSQL, Redis, RQ and Stripe

    PostgreSQL and Redis for core data and queue workflows, plus Stripe for billing systems.

  • Quality and delivery: Pytest, Ruff, ESLint, Stylelint, Prettier

    Fast feedback loops through testing, linting, and formatting checks to keep quality high without blocking delivery.

  • Operational tooling: Docker, uv, GitHub Actions, Sentry and Codecov

    Docker for local parity, uv for Python environments, and CI with coverage and error tracking.

Local Workflow

  • .dotfiles: Zsh, tmux, Neovim, Starship, fzf and ripgrep

    My local setup is versioned in github.com/William-Blackie/.dotfiles. It keeps shell, editor, and terminal workflows consistent across projects.

  • Support tools: Storybook, Redocly and Make-driven workflows

    Storybook for component work, Redocly for API checks, and Make targets for repeatable commands.

Hardware

  • 14” MacBook Pro, M3 Pro, 18GB RAM (2023)

    I use macOS for day-to-day work and Linux for server and container environments. This setup has been a good balance between local speed and production parity.