macOS 🍏

All my posts about various macOS technologies

40 posts

macOS posts from using Apple machines as a daily platform for automation, containers, development, music workflows, and local AI experiments. Expect Homebrew, shell setup, Docker and Podman on Macs, Python environments, dotfiles, and the occasional note from rebuilding the toolbox after another OS upgrade.

Often appears with

13 Jun 2026

Playing with Headroom: Compressing the Context Going to My AI Coding Agents

I spent a few days running Headroom, a local proxy that promises to cut the tokens your AI coding agent sends to the provider. The savings are real, but they're not where the dashboard first makes you think they are.

1 May 2026

Counting the Cost of Vibe Coding

A local-first dashboard for tracking AI coding tool spend across Claude Code, Codex, Cursor, Copilot, and Gemini CLI - with a TUI, a desktop app, and zero API keys required.

11 Apr 2026

Introducing AI Commit

A Rust CLI I built to stop writing terrible commit messages - aic generates AI-powered commit messages, PR drafts, diff reviews, and repo visualisations from your staged changes.

5 Apr 2026

Introducing Hosts Butler

A terminal-based hosts file manager built in Rust that I wrote to stop manually editing /etc/hosts with a text editor and hoping I didn't break anything.

1 Feb 2026

Introducing ssl-toolkit

A comprehensive SSL/TLS diagnostic tool built in Rust that I created to replace my ever-growing document of random certificate checking notes.

29 Dec 2025

Day to Day Tools, the 2025 edition

The 2025 edition of my day-to-day tools: Ghostty, Claude Code, Google's Antigravity IDE, and the AI services that have become central to how I work.

15 Nov 2025

My Starship Prompt Setup

A Deep Dive into a Gruvbox-Themed Terminal

12 Jan 2025

Personal Project Updates and AI Editors

About that time I wrote and published an App to the Apple App Store without knowing how to code

24 Nov 2024

Running Flux on macOS

“Learn how to install and use MFLUX to run FLUX.1 models on macOS. This guide explores generating high-quality AI images, comparing [Schnell] and [Dev] models, and enhancing outputs with LoRAs for custom styles.”