MacBook Pro with AI/ML Code on screen.

What Software I Use as a Principal Systems Architect and Digital Strategy Expert on My MacBook

As a Principal Systems Architect and Digital Strategy Expert, my workflow is built around efficiency, speed, and flexibility. My MacBook is a carefully tuned powerhouse, running a battle-tested software stack for AI, automation, web development, and cloud architecture. Here’s the full breakdown.

1. Development & Programming

Homebrew: The First Thing I Install

Homebrew is a must-have package manager for macOS. It makes installing developer tools, programming languages, and system utilities effortless.

Programming Languages & Frameworks

  • Python – AI, automation, and backend scripting.
  • Dart – Cross-platform development with Flutter.
  • R – Statistical computing and data analysis.
  • Rust – High-performance, memory-safe systems programming.
  • PHP – Powering custom-built WordPress sites and backend APIs.
  • Node.js – Fast, event-driven backend development.

Web Technologies & Frameworks

  • HTMX – Extending HTML’s power without heavy JavaScript frameworks.
  • HTMP – My own full-fledged PHP templating engine and framework.

Neovim & VSCode: The Power Duo

  • Neovim – A lightweight, highly customizable text editor for fast development.
  • VSCode – A full-fledged IDE with powerful extensions and debugging tools.

2. Terminal & Shell

iTerm2: The Terminal Upgrade

iTerm2 is my go-to terminal for split panes, better search, and deep customization.

Zsh & Oh My Zsh: A More Productive Shell

  • Zsh – My shell of choice for scripting and efficiency.
  • Oh My Zsh – Supercharges Zsh with plugins, themes, and aliases.

3. Productivity & Automation

  • Raycast – A next-gen Spotlight alternative with automation tools.
  • Warp – A blazing-fast, Rust-based terminal.
  • Obsidian – My go-to knowledge base for structured documentation.

4. Cloud & Infrastructure Tools

  • Docker – Essential for containerized development.
  • Kubernetes (kubectl) – For orchestrating cloud-native applications.
  • TerraformInfrastructure as Code (IaC) for cloud deployments.
  • AWS CLI – Direct access to Amazon Web Services from the terminal.

5. AI & Machine Learning

  • Jupyter Notebook – Fast prototyping and data exploration.
  • PyTorch & TensorFlow – Deep learning and AI development frameworks.

Conclusion

With this stack, my MacBook remains a high-performance, development powerhouse. Whether it’s coding, digital strategy, AI, or cloud automation, this setup ensures speed, efficiency, and scalability.

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