Show HN: Production-ready macOS dev environment setup with 10 preset configs (github.com)

A community-maintained repository now offers a production-ready, macOS-tailored development environment that installs full-stack JavaScript/TypeScript tooling and AI capabilities with a single, idempotent script. It provides 10+ preset configurations (minimal, webdev, ai, devops, everything, etc.), modular category installs, dry-run previews, and YAML-driven configuration (config.yaml) as the single source of truth. The setup covers runtimes (Node, Bun, Python), package managers (pnpm, yarn, pipx), containers (Docker, Colima), databases (Postgres, MongoDB, Redis, ClickHouse, DuckDB, OpenSearch), 20–30+ VS Code/extensions and AI editors (Cursor, Void IDE), modern terminals (Warp, iTerm2, Alacritty, WezTerm, Kitty), dotfile management, macOS system preference tweaks, and 50+ environment variables. It also bundles local LLM tooling—Ollama with Llama 2 and DeepSeek Coder 33B—LM Studio for model management, Open WebUI, OpenAI CLI, plus options to skip model downloads or web UIs. For AI/ML teams and developers this is significant because it streamlines onboarding, reproducibility, and local model experimentation while incorporating CI/CD, security checks (Gitleaks, ShellCheck, pre-commit), health checks, logs, lockfile protection, and automated docs. The Makefile and scripts support fine-grained installs, cleanup, health checks, and updates; the repo is versioned (v4.0.0), MIT-licensed, and targets Intel and Apple Silicon Macs with admin access and ~10GB free disk recommended—making it a practical, auditable base for macOS-based AI development workflows.