5 MacOS command line tools I swear by over their GUI counterparts

2026-05-04 · Source: News and Advice on the World's Latest Innovations | ZDNET · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning · Depth: Novice, short

Summary

MacOS offers several powerful and efficient command-line interface (CLI) tools that can streamline various tasks, often outperforming their graphical user interface (GUI) counterparts. These free and easily installable utilities include pandoc for file conversions, taskwarrior for managing to-do lists, Ollama for running local AI models, ag for rapid string searching across multiple files, and yt-dlp for downloading YouTube videos. Each tool provides a lightweight and reliable method for specific functions, emphasizing speed and direct interaction through the terminal. Installation typically involves using Homebrew, a popular package manager for MacOS, or direct package downloads from official GitHub sites.

Key takeaway

For AI Engineers and power users seeking enhanced productivity on MacOS, integrating command-line tools into your workflow can significantly boost efficiency. Consider adopting tools like Ollama for local LLM experimentation or pandoc for rapid file conversions to reduce reliance on resource-heavy GUI applications. Your daily tasks, from managing projects to downloading media, can become faster and more direct, freeing up system resources and minimizing distractions.

Key insights

MacOS CLI tools offer efficient, lightweight alternatives to GUI apps for various tasks.

Principles

• CLI tools enhance efficiency.
• Homebrew simplifies MacOS tool installation.

Method

Install CLI tools via Homebrew (e.g., `brew install pandoc`). Navigate to the relevant directory in the terminal and execute commands with specific syntax for tasks like file conversion, task management, or string searching.

In practice

• Convert files using `pandoc -s file.txt -o file.docx`.
• Manage tasks with `task add` and `task list`.
• Run local LLMs using `ollama pull MODEL` and `ollama run MODEL`.

Topics

• MacOS Command Line
• File Conversion
• Task Management
• Local AI Models
• String Search Utility

Best for: Software Engineer, AI Engineer, AI Student

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Editorial summary, takeaway, and curation by AIssential. Original article published by News and Advice on the World's Latest Innovations | ZDNET.