Vercel Control Center for VS Code

Manage, deploy, debug, configure, monitor, and troubleshoot your Vercel projects directly inside Visual Studio Code.

Note: This is a community-developed extension and is not officially affiliated with or endorsed by Vercel Inc.

Features

Activity Bar Workspace:
- Current Project: Live production domain, active deployment status, framework, billable duration, and CPU minutes.
- Deployments: Grouped by environment (Production, Preview, Development), with real-time build status badges, rollback, redeploy, cancel, and log inspection.
- Environment Variables: Production, Preview, and Development variables with masked values (••••••••), CLI pull/push, and environment comparison diffing.
- Domains & DNS: SSL status, verification badges, and automated DNS diagnostics.
- All Projects & Teams: Global project browser with instant team-scoped search and switching.
- Platform Services & Security: Vercel Blob explorer, Queues, AI Gateway, WAF managed rules, and BotID.
CLI & Dry-Run Integration:
- Perform vercel deploy --dry to inspect included files, ignored files, and deployment size before uploading.
Deterministic Diagnostics:
- Rule-based detection of missing environment variables, build command failures, framework detection mismatches, DNS misconfigurations, and configuration drift.
Provider-Agnostic AI Assistant:
- "Explain this error" and "Investigate Runtime Error" using Gemini, OpenAI, or Anthropic.
- All logs and payloads are rigorously sanitized to prevent credential or secret leakage.
Zero Token Leakage:
- Securely stores Personal Access Tokens in VS Code's native SecretStorage. Never stores secrets in settings.json or project files.

Command	Description
`Vercel: Login`	Securely store your Vercel Personal Access Token
`Vercel: Logout`	Clear credentials and reset extension state
`Vercel: Switch Team / Scope`	Switch between Personal account and Teams
`Vercel: Deploy`	Deploy local workspace to Vercel
`Vercel: Deploy Preview`	Create a preview deployment
`Vercel: Deploy Production`	Deploy directly to production
`Vercel: Deploy Dry Run`	Inspect deployment bundle files and sizes
`Vercel: Rollback Production`	Instantly revert production to a previous deployment
`Vercel: Pull Environment Variables`	Pull cloud variables into `.env`
`Vercel: Compare Environments`	Diff variables across Preview and Production
`Vercel: Diagnose Deployment`	Analyze build failure causes and suggested fixes
`Vercel: Detect Configuration Drift`	Compare local `vercel.json` vs cloud configuration
`Vercel: Feature Support`	Audit platform capabilities and dashboard fallbacks

Setting	Default	Description
`vercel.autoRefresh`	`true`	Periodically update deployment and project state
`vercel.refreshInterval`	`30`	Interval in seconds between auto-refreshes
`vercel.showNotifications`	`"important"`	Notification level (`all`, `important`, `none`)
`vercel.ai.enabled`	`true`	Enable AI-powered build failure diagnosis
`vercel.ai.provider`	`"gemini"`	AI Provider (`gemini`, `openai`, `anthropic`)
`vercel.dashboardUrl`	`"https://vercel.com"`	Base URL for Vercel Dashboard links

MIT