Forcing Analysis Mode in Gemini CLI with Pseudo Code
I've been using the Gemini CLI (specifically with Gemini 3 Pro) heavily for my daily coding tasks.
Gemini CLI
The Gemini CLI is a command-line tool for querying and editing codebases of any size. It can use tools like your shell, filesystem, Google Search, and has the ability to fetch websites and connect to MCP servers.
Here's how to install the tool (the free tier is very generous):
npm install -g @google/gemini-cli
gemini
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.
A Function Index to Improve Gemini CLI's Code Context
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.
How to Teach Gemini CLI to Write Python Scripts with Inline Dependencies
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.
How to Analyze a .FIT File and Create Plots with Gemini CLI
I started with a binary .FIT file from my sports watch and used
Gemini CLI to parse it, explore the data, and generate insightful plots about my run.
How to Run the Nightly Build of Gemini CLI
Use npx to run the nightly and keep your stable gemini version intact while letting you test the latest features.
Three Useful Gemini CLI Shortcuts
Here are three useful keyboard shortcuts for the Gemini CLI that I have found to be particularly helpful.
Exploring the Gemini CLI
This week, I used the Gemini CLI to generate scripts, and write code. Here are six practical tips that go beyond basic code generation.
How Gemini CLI Builds Context and Learns About Your Codebase
A look under the hood of the Gemini CLI to understand how it learns about a codebase, from the initial snapshot to on-demand learning with tools, and how you can provide context by mentioning files with @.