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gemini-review

Google Gemini CLI code review with Gemini 2.5 Pro, 1M token context, CI/CD integration

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gemini-review
description
Google Gemini CLI code review with Gemini 2.5 Pro, 1M token context, CI/CD integration

Google Gemini Code Review Skill

Load with: base.md + code-review.md

Use Google's Gemini CLI for code review with Gemini 2.5 Pro - featuring a massive 1M token context window that can analyze entire repositories at once.

Sources: Gemini CLI | Code Review Extension | Gemini Code Assist | GitHub Action


Why Gemini for Code Review?

FeatureBenefit
Gemini 2.5 ProState-of-the-art reasoning for code
1M token contextEntire repositories fit - no chunking needed
Free tier1,000 requests/day with Google account
Consistent outputClean formatting, predictable structure
GitHub nativeGemini Code Assist app for auto PR reviews

Benchmark Performance

BenchmarkScoreNotes
SWE-Bench Verified63.8%Agentic coding benchmark
Qodo PR Benchmark56.3%PR review quality
LiveCodeBench v570.4%Code generation
WebDev Arena#1Web development

Installation

Prerequisites

# Check Node.js version (requires 20+) node --version # Install Node.js 20 if needed # macOS brew install node@20 # Or via nvm nvm install 20 nvm use 20

Install Gemini CLI

# Via npm (recommended) npm install -g @google/gemini-cli # Via Homebrew (macOS) brew install gemini-cli # Or run without installing npx @google/gemini-cli # Verify installation gemini --version

Install Code Review Extension

# Requires Gemini CLI v0.4.0+ gemini extensions install https://github.com/gemini-cli-extensions/code-review # Verify extension gemini extensions list

Authentication

Option 1: Google Account (Recommended)

Free tier: 1,000 requests/day, 60 requests/min

# Run gemini and follow browser login gemini # Select: "Login with Google Account" # Opens browser for OAuth

This gives you access to Gemini 2.5 Pro with the full 1M token context window.

Option 2: Gemini API Key

Free tier: 100 requests/day

# Get API key from https://aistudio.google.com/apikey # Set environment variable export GEMINI_API_KEY="your-api-key" # Or add to shell profile echo 'export GEMINI_API_KEY="your-api-key"' >> ~/.zshrc # Run Gemini gemini

Option 3: Vertex AI (Enterprise)

# For Google Cloud projects export GOOGLE_API_KEY="your-api-key" export GOOGLE_GENAI_USE_VERTEXAI=true export GOOGLE_CLOUD_PROJECT="your-project-id" gemini

Interactive Code Review

Using the Code Review Extension

# Start Gemini CLI gemini # Run code review on current branch /code-review

The extension analyzes:

  • Code changes on your current branch
  • Identifies quality issues
  • Suggests fixes

Manual Review Prompts

# In interactive mode gemini # Then ask: > Review the changes in this branch for bugs and security issues > Analyze src/api/users.ts for potential vulnerabilities > What are the code quality issues in the last 3 commits?

Headless Mode (Automation)

Basic Usage

# Simple prompt execution gemini -p "Review the code changes for bugs and security issues" # With JSON output (for parsing) gemini -p "Review the changes" --output-format json # Stream JSON events (real-time) gemini -p "Review and fix issues" --output-format stream-json # Specify model gemini -m gemini-2.5-pro -p "Deep code review of this PR"

Full CI/CD Example

# Get diff and review git diff origin/main...HEAD > diff.txt gemini -p "Review this code diff for: 1. Security vulnerabilities 2. Performance issues 3. Code quality problems 4. Missing error handling Diff: $(cat diff.txt) " --output-format json > review.json

Session Tracking

# Track token usage and costs gemini -p "Review changes" --session-summary metrics.json # View metrics cat metrics.json

GitHub Integration

Option 1: Gemini Code Assist App (Easiest)

Install from GitHub Marketplace:

  1. Go to GitHub Marketplace → Gemini Code Assist
  2. Click "Install" and select repositories
  3. PRs automatically get reviewed when opened

Commands in PR comments:

/gemini review     # Request code review
/gemini summary    # Get PR summary
/gemini help       # Show available commands

Quota:

  • Free: 33 PRs/day
  • Enterprise: 100+ PRs/day

Option 2: GitHub Action

# .github/workflows/gemini-review.yml name: Gemini Code Review on: pull_request: types: [opened, synchronize] jobs: review: runs-on: ubuntu-latest permissions: contents: read pull-requests: write steps: - uses: actions/checkout@v4 with: fetch-depth: 0 - name: Setup Node.js uses: actions/setup-node@v4 with: node-version: '20' - name: Install Gemini CLI run: npm install -g @google/gemini-cli - name: Run Review env: GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }} run: | # Get diff git diff origin/${{ github.base_ref }}...HEAD > diff.txt # Run Gemini review gemini -p "Review this pull request diff for bugs, security issues, and code quality problems. Be specific about file names and line numbers. $(cat diff.txt)" > review.md - name: Post Review Comment uses: actions/github-script@v7 with: script: | const fs = require('fs'); const review = fs.readFileSync('review.md', 'utf8'); github.rest.issues.createComment({ owner: context.repo.owner, repo: context.repo.repo, issue_number: context.issue.number, body: `## 🤖 Gemini Code Review\n\n${review}` });

Option 3: Official GitHub Action

# .github/workflows/gemini-review.yml name: Gemini Code Review on: pull_request: types: [opened, synchronize] issue_comment: types: [created] jobs: review: runs-on: ubuntu-latest permissions: contents: read pull-requests: write issues: write steps: - uses: actions/checkout@v4 - name: Run Gemini CLI uses: google-github-actions/run-gemini-cli@v1 with: gemini_api_key: ${{ secrets.GEMINI_API_KEY }} prompt: "Review this pull request for code quality, security issues, and potential bugs."

On-demand commands in comments:

@gemini-cli /review
@gemini-cli explain this code change
@gemini-cli write unit tests for this component

GitLab CI/CD

# .gitlab-ci.yml gemini-review: image: node:20 stage: review script: - npm install -g @google/gemini-cli - | gemini -p "Review the merge request changes for bugs, security issues, and code quality" > review.md - cat review.md artifacts: paths: - review.md rules: - if: $CI_PIPELINE_SOURCE == "merge_request_event" variables: GEMINI_API_KEY: $GEMINI_API_KEY

Configuration

Global Config

# ~/.gemini/settings.json { "model": "gemini-2.5-pro", "theme": "dark", "sandbox": true }

Project Config (GEMINI.md)

Create a GEMINI.md file in your project root for project-specific context:

# Project Context for Gemini ## Tech Stack - TypeScript with strict mode - React 18 with hooks - FastAPI backend - PostgreSQL database ## Code Review Focus Areas 1. Type safety - ensure proper TypeScript types 2. React hooks rules - check for dependency array issues 3. SQL injection - verify parameterized queries 4. Authentication - check all endpoints have proper auth ## Conventions - Use camelCase for variables - Use PascalCase for components - All API errors should use AppError class

CLI Quick Reference

# Interactive gemini # Start interactive mode /code-review # Run code review extension # Headless gemini -p "prompt" # Single prompt, exit gemini -p "prompt" --output-format json # JSON output gemini -m gemini-2.5-flash -p "prompt" # Use faster model # Extensions gemini extensions list # List installed gemini extensions install URL # Install extension gemini extensions update # Update all # Key Flags --output-format json # Structured output --output-format stream-json # Real-time events --session-summary FILE # Track metrics -m MODEL # Select model

Comparison: Claude vs Codex vs Gemini

AspectClaudeCodex CLIGemini CLI
SetupNone (built-in)npm + OpenAI APInpm + Google Account
ModelClaudeGPT-5.2-CodexGemini 2.5 Pro
ContextConversationFresh per review1M tokens (huge!)
Free TierN/ALimited1,000/day
Best ForQuick reviewsHigh accuracyLarge codebases
GitHub NativeNo@codexGemini Code Assist

When to Use Each

ScenarioRecommended Engine
Quick in-flow reviewClaude
Critical security reviewCodex (88% detection)
Large codebase (100+ files)Gemini (1M context)
Free automated reviewsGemini
Multiple perspectivesAll three (dual/triple engine)

Troubleshooting

IssueSolution
gemini: command not foundnpm install -g @google/gemini-cli
Node.js version errorUpgrade to Node.js 20+
Authentication failedRe-run gemini and login again
Extension not foundgemini extensions install https://github.com/gemini-cli-extensions/code-review
Rate limitedWait or upgrade to Vertex AI
Hangs in CIEnsure DEBUG env var is not set

Anti-Patterns

  • Skipping authentication setup - Always configure before CI/CD
  • Using API key in logs - Use secrets management
  • Ignoring context limits - Even 1M tokens has limits for huge monorepos
  • Running on every commit - Use on PRs only to save quota
  • Not setting project context - Add GEMINI.md for better reviews