Install Homebrew
The one-line Homebrew installer for macOS, Linux, and WSL, plus the PATH step Apple Silicon needs and a quick way to check it actually took.
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Posts on AI engineering, LLM systems, and software development.
The one-line Homebrew installer for macOS, Linux, and WSL, plus the PATH step Apple Silicon needs and a quick way to check it actually took.
Install Git on macOS, Linux, and Windows, set your name and email so commits get attributed to you, and confirm it all worked in one command.
Install Node and npm through a version manager so you can switch versions per project. fnm is my pick, with nvm and Volta as alternatives.
Leave system Python alone. Install uv, then let it handle Python versions and per-project virtual envs from one fast binary.
Get Docker running on macOS, Linux, or Windows, confirm it with hello-world, and dodge the licensing and resource traps that trip people up.
Get Ollama running on macOS, Linux, or Windows, pull your first model, and confirm it works with ollama list. The shortest path to a local LLM.
Build llama.cpp from source with Metal or CUDA, then run a GGUF model with llama-cli. The closest thing to bare-metal local inference.
Install LM Studio on macOS, Linux, and Windows, then flip on the local OpenAI-compatible server so any client library can talk to a model on your own machine.
Install the official Claude SDK for Python and Node, set your API key the safe way, and prove it works with a one-line call.
Install the OpenAI SDK for Python and Node, set your API key, and prove it works with a one-line chat call.