Google Antigravity Workflows Master AI-powered development workflows to build faster, debug smarter, and ship with confidence. Each workflow combines Agent Mode , MCP servers , and Gemini 3's intelligence for maximum productivity.
12 Workflows
12 Categories
10x Faster Development
Getting Started with Workflows Quick Start Open your project in Antigravity Press Cmd/Ctrl + Shift + A for Agent Mode Describe your task using a workflow below Follow AI guidance through each step Development Workflows Feature Development Workflow End-to-end workflow for building new features from requirements to deployment
Steps: Analyze requirements with AI assistance Generate boilerplate code structure Implement core functionality Add tests and documentation Review and refactor with AI Prepare for deployment Debugging Workflows Bug Investigation & Fix Workflow Systematic approach to finding, understanding, and fixing bugs with AI assistance
Steps: Describe the bug to Antigravity AI analyzes codebase for root cause Review suggested fixes Implement the fix Add regression test Verify fix works Quality Workflows AI-Powered Code Review Workflow Comprehensive code review using Gemini 3 for quality, security, and best practices
Steps: Select code for review AI analyzes for issues Review security vulnerabilities Check performance optimizations Apply suggested improvements Document changes Backend Workflows REST API Development Workflow Build production-ready APIs with authentication, validation, and documentation
Steps: Define API endpoints and schemas Generate route handlers Add input validation Implement authentication Write API tests Generate OpenAPI documentation Database Workflows Database Schema Migration Workflow Safely modify database schemas with AI-generated migrations and rollback plans
Steps: Describe schema changes needed AI generates migration scripts Review migration for safety Generate rollback script Test migration locally Apply to production Maintenance Workflows Large-Scale Refactoring Workflow Safely refactor codebases with AI maintaining functionality and test coverage
Steps: Identify refactoring goals AI analyzes dependencies Plan incremental changes Refactor with test verification Update documentation Review final changes Testing Workflows Comprehensive Testing Workflow Generate unit, integration, and e2e tests with high coverage
Steps: Analyze code for test requirements Generate unit tests Create integration tests Add e2e test scenarios Run coverage analysis Fill coverage gaps Documentation Workflows Documentation Generation Workflow Auto-generate comprehensive documentation from your codebase
Steps: Select code to document AI analyzes code structure Generate JSDoc/docstrings Create README sections Add usage examples Review and refine Performance Workflows Performance Optimization Workflow Identify and fix performance bottlenecks with AI-guided optimization
Steps: Profile application performance AI identifies bottlenecks Review optimization suggestions Implement optimizations Benchmark improvements Document changes Security Workflows Security Audit Workflow Comprehensive security analysis and vulnerability remediation
Steps: Run security scan AI analyzes vulnerabilities Prioritize by severity Generate fix recommendations Implement security patches Verify fixes DevOps Workflows CI/CD Pipeline Setup Workflow Configure automated testing and deployment pipelines
Steps: Describe deployment requirements AI generates pipeline config Configure build steps Add test stages Set up deployment Test pipeline Frontend Workflows React Component Development Workflow Build reusable, tested React components with TypeScript
Steps: Define component requirements Generate component structure Add TypeScript types Implement functionality Write component tests Add Storybook stories Pro Tips for Workflow Success 💡 Be Specific The more context you provide, the better AI assistance you'll receive. Include file paths, error messages, and requirements.
🔄 Iterate Don't expect perfection on the first try. Review, adjust, and refine AI suggestions through multiple iterations.
🛡️ Use Git Always work on a branch. This gives you a safety net to review and rollback changes if needed.
🔗 Combine MCP Connect MCP servers for database, GitHub, and API access to supercharge your workflows.
Configure Your Workflows Customize how workflows behave with configuration files:
Workflow Troubleshooting Having issues with workflows? Common solutions:
Agent not responding: Check internet connection and restart Agent ModeMCP tools missing: Verify MCP server configuration in settingsSlow execution: Reduce context by excluding node_modules in .antigravityUnexpected results: Be more specific in your workflow promptsFor more help, see our complete troubleshooting guide .