From Track Workout to Ridgelines with Gemini CLI
Through a process of debugging and exploration with Gemini CLI, I turned a binary data file into a visualization that truly tells the story of my workout.
Technical notes on AI agents, cloud infrastructure, and development workflows.
Through a process of debugging and exploration with Gemini CLI, I turned a binary data file into a visualization that truly tells the story of my workout.
I wrote a language-agnostic script that creates a list of functions and classes in a codebase, improving Gemini CLI's ability to perform exploratory tasks and recognize existing code when implementing new functionality.
Teach Gemini CLI to write executable, single-file Python scripts with an inline dependency block, a technique that lets you run scripts without having to run pip install
first.
More on: Gemini CLI: Google's coding agent for the terminal →
Learn how to extend the capabilities of your ADK agent by adding custom tools. This guide walks you through creating a Python function and integrating it as a tool, enabling your agent to interact with external systems and data.
This guide shows how to quickly set up a local agent development environment, create a new agent, and run the ADK web UI.
More on: Google ADK: Google's open-source framework for creating AI agents →
By transcribing and analyzing Gemini's podcast-style Audio Overviews, I uncovered a replicable five-phase framework that anyone can use to transform dense documents into conversational deep dives.
Get ready for Cloud Next 2025, where Cloud Run takes center stage with sessions covering everything from new features and serverless GPUs to AI agents and high-availability services.