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Setup — Standard & Enterprise
FreshSetup 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
gcloudCLI (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 --> IStep 1: Google Cloud Setup
- Open Google Cloud Console
- Select your project
- Enable the Cloud AI Companion API
- Assign
roles/cloudaicompanion.userIAM 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):
- Index repositories in Enterprise settings
- Configure in Google Cloud Console
- Use
@REPO_NAMEin 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