Blog: Learn Machine Learning from a Google AI Engineer
Unleashing Gemini CLI Power in GitHub Actions and Beyond
While everyone’s talking about AI coding assistants like Cursor, GitHub Copilot, and Windsurf, there’s an incredibly powerful tool flying under the radar – Gemini CLI. As an AI Engineer at Google, I’ve discovered that Gemini CLI fills a completely different niche that’s game-changing for automation, CI/CD pipelines, and headless operations.
This isn’t just another API wrapper – it’s a full-featured terminal-based AI agent that brings Gemini’s power directly into your command line and automation workflows. Let’s dive into how to set it up and use it effectively.
Lee Boonstra
Lee Boonstra (they/them) has been a presence in the tech world since 2007, wearing many hats from AI software engineer to prompt engineer, web developer to technical trainer, and developer advocate.
With ten years of experience at Google (and AI) under their belt, they now hold the role of AI Software Engineer (SWE) at the Google Cloud office of the CTO. Leading innovation projects, Lee aims to disrupt markets and foster collaboration globally. Their expertise in Conversational and Voice technology, alongside (Generative) AI, has led to recognition as a respected public keynote speaker and published author for O’Reilly and Apress. Lee eases tech headaches and celebrates those light bulb moments.
Lee has written the Google/Kaggle Prompt Engineering whitepaper and two books: "Hands-on Sencha Touch 2" (O'Reilly) and their more recent work, "The Definitive Guide to Conversational AI with Dialogflow and Google Cloud" (Apress).
