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 →
Extend your ADK agent's capabilities by adding custom tools. This guide shows you how to create and integrate a Python function as a tool, allowing your agent to interact with external systems and data.
Learn how to 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.