Dotfiles for macOS: From Terminal to Desktop Environment
Part 2: How AeroSpace, SketchyBar, Nushell infrastructure tooling, a custom Neovim IDE, and 80+ CLI tools turn macOS into a keyboard-driven engineering cockpit.
Blog
Topic: Engineering
My Dotfiles Aren't Aesthetic. They're Operational.
How I use a disciplined dotfiles strategy to turn any new machine into a familiar, mistake-proof engineering environment in under an hour.
Chrome DevTools MCP: Giving Your AI Agent Eyes in the Browser
A professional walkthrough — from install to real-world use — of Chrome DevTools MCP across VS Code, Cursor, GitHub Copilot, Claude Code and Gemini CLI with npx chrome-devtools-mcp@latest and --autoConnect. JSON configs, the Chrome M144+ connection flow, Lighthouse and CORS debugging prompts, and a verification checklist.
Git 2.52–2.54: Worktrees, History Rewriting, and Monorepo Speed
Three Git releases packed the features I've been asking for: parallel worktrees without the stash dance, rewrite commits without rebasing, and geometric repacking that turns hours into minutes.
Why I Swapped LocalStack for Floci — And Didn't Look Back
LocalStack started gating CI behind auth tokens. Here's how I moved my daily AWS dev loop to Floci — faster boots, MIT license, no signup wall.
CI/CD Pipeline From Zero to Production: Docker → Kubernetes → Terraform
A battle-tested guide to building production CI/CD pipelines with Docker, GitHub Actions, Kubernetes, and Terraform. Real configs, real lessons.
It's 2026, Just Use Postgres: Why PostgreSQL Won the Database War
PostgreSQL 18's async I/O, pgvector killing standalone vector DBs, MySQL's uncertain future, and why Postgres became the everything database in 2026.
Why I Chose Claude Code Over Every Other AI Coding Agent in 2026
A comprehensive comparison and engineering deep dive into the terminal-native AI landscape. Why Claude Code dominates for CLI-oriented developers.
Same Model. 6x Performance Gap. The Harness Is Everything.
Why the biggest leap in AI capability isn't a better model — it's better harness engineering. A deep dive into Stanford's Meta-Harness paper and what it means for every developer building AI systems in 2026.