Same setup. Same agent behavior. Every machine.
A concrete, opinionated playbook for setting up a dev environment that works on Mac, Linux, Windows+WSL, and cloud VMs — and is productive for agentic AI engineering specifically. Not "favorite tools"; the discipline of parity.
Pick your platform first.
"You're not choosing forever. But pick one as primary — the parity discipline assumes you have a primary that you treat as the source of truth."
Read chapter 01 to decide your primary OS. Then either run through the fresh-machine setup checklist for the bulk of the install, or read the playbook chapters in order. The dotfiles pattern in chapter 08 is the highest-leverage move once the basics are working.
Playbook — nine focused chapters
Each chapter is opinionated, concrete, and full of copy-pasteable commands. Read in order for adoption; skim by topic for reference.
Checklists — operational sequences
Step-by-step lists for the recurring operational moments.
Reference Configs — copy-pasteable starting points
Working configs for the load-bearing layers. Tweak to taste; the structure is what matters.
Send a quick note.
Used the playbook to set up your own environment? Hit a gap or a platform-specific failure? Have a war story? This form goes straight to the maintainer.
If you have a GitHub account, opening an issue is preferred. This form is the path for everyone else.