Gemini CLI Extension: Code Review — Quality Checks

What it is

This is a Gemini CLI extension that adds automated code review capabilities to your terminal workflow. It analyzes code quality, checks adherence to coding standards, and suggests improvements. The extension leverages Gemini models to provide contextual feedback on code changes.

It is designed for developers who want quick quality feedback without leaving the terminal. Useful for pre-commit checks, pull request preparation, or learning better coding patterns.

How it saves time or tokens

Manual code review is slow and inconsistent. This extension automates the first pass, catching style violations, potential bugs, and complexity issues before a human reviewer sees the code. By running locally in the CLI, it avoids round-trips to web interfaces. The estimated token cost per review is around 500 tokens, making it efficient for frequent use.

How to use

1. Install the Gemini CLI and configure your API key.
2. Add the code review extension to your Gemini CLI configuration.
3. Run the review command against your changed files or a specific file path.
4. Read the output and apply suggested changes.

# Install Gemini CLI
npm install -g @google/gemini-cli

# Configure API key
gemini auth login

# Run code review on a file
gemini review src/main.ts

# Review staged changes
gemini review --staged

# Review with specific focus
gemini review --focus security src/auth.ts

Example

A typical review output:

[WARN] src/main.ts:42 - Variable 'data' is reassigned but could be const
[ERROR] src/main.ts:78 - Potential null dereference: 'user.name' accessed without null check
[STYLE] src/main.ts:91 - Function exceeds 50 lines, consider extracting helper
[OK] src/utils.ts - No issues found

Summary: 1 error, 1 warning, 1 style suggestion across 2 files

Related on TokRepo

• Coding tools — More AI-assisted development tools
• Automation tools — Workflow automation for developers

Common pitfalls

• The extension requires a valid Gemini API key. Free-tier rate limits may throttle frequent use.
• Large files produce verbose output. Use file-specific or staged-only mode to keep reviews focused.
• Review suggestions are AI-generated and may not always align with your project conventions. Treat them as a second opinion, not gospel.
• The extension does not execute code. It cannot catch runtime errors, only static patterns.
• Network connectivity is required for each review call since it sends code to the Gemini API.
• Review the official documentation before deploying to production to ensure compatibility with your specific environment and requirements.