# AI / LLM Application Engineer — Homebrew packages.
# ── base: every kitout workstation ──────────────────────────────────
brew "git"
brew "gh"
brew "ripgrep"
brew "fd"
brew "bat"
brew "eza"
brew "fzf"
brew "jq"
brew "starship"
brew "uv"                 # ubiquitous Python / tool runner
brew "node"               # coding agents + MCP servers
cask "ghostty"
cask "visual-studio-code"
cask "claude-code"

# ── ai / llm application engineer ──
# ── AI/LLM app dev ──
brew "python@3.13"
brew "ollama"                   # local models / embeddings
brew "pgvector"                 # brew-native vector store (needs postgresql@17)
brew "postgresql@17"
# cask "lm-studio"              # local model GUI (optional)
brew "httpie"
# note: chromadb/qdrant are NOT brew (qdrant absent; `chroma` formula is a Go tool) — use uvx/Docker
