Recommended Tools & Integrations
CodeFrog works best when combined with other professional development tools. This guide recommends tools and services that complement CodeFrog’s workflow.
Integrated Development Environments (IDEs)
While CodeFrog provides code editing capabilities, we recommend using dedicated IDEs for your primary development work:
Cursor
Why we recommend it: Cursor is an AI-powered code editor that integrates seamlessly with your development workflow.
- AI-Powered: Built-in AI assistant for code generation and refactoring
- Git Integration: Excellent Git workflow integration
- Terminal Access: Built-in terminal for CLI tools
- Extension Support: Compatible with VS Code extensions
- Cross-Platform: Available on macOS, Windows, and Linux
Best for: AI-assisted coding, rapid prototyping, code refactoring
Visual Studio Code
Why we recommend it: VS Code is a lightweight, powerful editor with extensive extension ecosystem.
- Extensive Extensions: Huge marketplace of extensions
- Git Integration: Built-in Git support
- Debugging: Excellent debugging capabilities
- Terminal: Integrated terminal for CLI workflows
- Free & Open Source: Completely free to use
Best for: General development, debugging, extension-based workflows
Other IDEs
- JetBrains IDEs (IntelliJ, WebStorm, PyCharm): Full-featured IDEs for specific languages
- Sublime Text: Lightweight, fast editor
- Vim/Neovim: Terminal-based editors for power users
AI & Code Review Tools
CodeRabbit
Why we recommend it: CodeRabbit provides automated code review and AI-powered PR feedback.
- Automated Reviews: AI-powered pull request reviews
- GitHub Integration: Seamless GitHub integration
- Task Management: Import PR comments as tasks
- Code Quality: Automated code quality checks
Integration with CodeFrog: CodeFrog can import CodeRabbit PR comments as tasks and export them to task management systems.
See CodeRabbit + Augment Workflow for integration details.
Cursor
As mentioned above, Cursor provides AI-powered coding assistance that complements CodeFrog’s workflow.
Cloud Infrastructure
Hetzner Cloud
Why we recommend it: Cost-effective cloud infrastructure with excellent performance.
- Affordable: Competitive pricing for cloud resources
- Performance: High-performance SSD storage
- Global Locations: Data centers in multiple regions
- API Access: Full API for automation
- Simple Pricing: Transparent, predictable pricing
Use with CodeFrog: CodeFrog can manage Hetzner servers via SSH connections. Perfect for remote development workflows.
Linode
Why we recommend it: Reliable cloud infrastructure with excellent developer experience.
- Developer-Friendly: Great documentation and support
- Performance: High-performance infrastructure
- Global Network: Worldwide data center locations
- Flexible Plans: Scalable pricing options
- API Access: Comprehensive API for automation
Use with CodeFrog: Connect to Linode servers via SSH for remote development and server management.
Communication & Email Services
SendGrid
Why we recommend it: Reliable email delivery service for transactional emails.
- Reliable Delivery: High deliverability rates
- API Integration: RESTful API for programmatic email sending
- Analytics: Detailed email analytics and tracking
- Templates: Email template management
- Webhooks: Real-time event notifications
Use with CodeFrog: Integrate SendGrid API keys in CodeFrog for automated email notifications and alerts.
Mailchimp (REST API Mode)
Why we recommend it: Powerful email marketing platform when used securely via REST API.
Important Security Note: Mailchimp should only be used in REST API mode for maximum security. Avoid embedded JavaScript implementations that may have security concerns.
- REST API: Secure API-based integration
- Audience Management: Email list management
- Campaigns: Email campaign creation and management
- Analytics: Comprehensive email analytics
- Automation: Automated email workflows
Security Best Practices:
- Always use REST API mode
- Store API keys securely (CodeFrog uses macOS Keychain)
- Never embed Mailchimp JavaScript directly
- Use server-side API calls only
Version Control & Collaboration
GitHub
Why we recommend it: Industry-standard version control and collaboration platform.
- Git Integration: Full Git workflow support
- Pull Requests: Code review and collaboration
- Issues: Project management and bug tracking
- Actions: CI/CD automation
- Packages: Package registry
Integration with CodeFrog:
- View and manage PR comments
- Import PR feedback as tasks
- Track GitHub issues
- Automate code review workflows
See Project Workflows for GitHub integration details.
Recommended Workflow Combinations
AI-Assisted Development
- Cursor for primary coding with AI assistance
- CodeRabbit for automated PR reviews
- CodeFrog for testing, security scanning, and project management
- GitHub for version control and collaboration
Remote Development
- Hetzner or Linode for cloud infrastructure
- CodeFrog for SSH server management and monitoring
- VS Code or Cursor with Remote SSH extension
- GitHub for version control
Full-Stack Workflow
- Cursor or VS Code for development
- CodeFrog for testing and security validation
- SendGrid for transactional emails
- Mailchimp (REST API) for marketing emails
- GitHub for version control and deployment
Why Not AI CLI Programs in CodeFrog?
CodeFrog intentionally does not include embedded AI CLI tools (such as Auggie, Cursor CLI, or similar). Instead, we recommend:
- Using your Mac’s Terminal app for AI CLI tools
- Using dedicated IDEs like Cursor for AI-powered coding
- Using external services like CodeRabbit for AI-powered reviews
This approach provides:
- Better Security: No embedded third-party AI tools in the app
- More Flexibility: Use the AI tools that work best for your workflow
- Cleaner Architecture: CodeFrog focuses on testing, security, and project management
- User Choice: You control which AI tools to use and how
Next Steps
- Tips for New Users - Learn productivity tips
- Project Workflows - Set up your development workflow
- Tools Available - Explore CodeFrog’s built-in tools
- CodeRabbit + Augment Workflow - AI integration guide