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Setup — Standard & Enterprise

Fresh

Setup guide for Gemini Code Assist Standard and Enterprise (paid tiers via Google Cloud).

Prerequisites

  • Active Google Cloud project with billing enabled
  • Gemini Code Assist Standard or Enterprise subscription
  • VS Code, JetBrains IDE, or Android Studio
  • gcloud CLI (recommended)

Setup Flow

mermaid
flowchart TD
    A[Google Cloud Console] --> B[Enable Cloud AI Companion API]
    B --> C[Assign IAM roles to users]
    C --> D[Install IDE extension]
    D --> E[Sign in with Google]
    E --> F[Select Cloud project]
    F --> G{Enterprise?}
    G -->|Yes| H[Configure code customization]
    G -->|No| I[Start coding]
    H --> I

Step 1: Google Cloud Setup

  1. Open Google Cloud Console
  2. Select your project
  3. Enable the Cloud AI Companion API
  4. Assign roles/cloudaicompanion.user IAM role to developers

Step 2: Install Extension

Same as individual setup:

  • VS Code: Extensions > Search "Gemini Code Assist" > Install
  • JetBrains: Plugins > Marketplace > "Gemini Code Assist" > Install

Step 3: Configure Project

Add to VS Code settings.json:

json
{
  "cloudcode.cloudProject": "YOUR_PROJECT_ID"
}

Enterprise: Code Customization

Code customization lets the model learn from your private repos (GitHub, GitLab, Bitbucket):

  1. Index repositories in Enterprise settings
  2. Configure in Google Cloud Console
  3. Use @REPO_NAME in chat to reference specific repos

Enterprise only

Code customization is exclusive to Gemini Code Assist Enterprise.

Additional Enterprise Features

  • Apigee: AI assistance for API design and policy development
  • Application Integration: AI-assisted automation flow generation
  • Gemini Cloud Assist: Full Google Cloud console AI assistance

Verification

  • Status bar shows your Cloud project name
  • Chat responds with project-aware suggestions
  • Enterprise: type @ and see indexed repository list

Based on official Google Gemini Code Assist documentation.