Migrating from Other Tools
Switch to Kilo for Teams from other AI coding tools and experience transparent pricing, no vendor lock-in, and superior team management capabilities.
Why Teams Switch to Kilo
Transparency vs. Opacity
Other AI coding vendors hide their true costs behind opaque subscription models, leaving you wondering what you're actually paying for.
Kilo for Teams shows you exactly what each AI request costs - no markup, no hidden fees, complete transparency.
No Rate Limiting
Other tools slow you down with rate limits and model switching when you need AI most.
Kilo for Teams never limits your usage - pay for what you use, use what you need.
True Team Management
Other solutions offer basic user management with limited visibility.
Kilo for Teams provides comprehensive team analytics, role-based permissions, and detailed usage insights.
Migrating from Cursor
What You're Leaving Behind
- Opaque pricing - Never knowing true AI costs
- Rate limiting during peak usage periods
- Limited team visibility into usage patterns
- Vendor lock-in with proprietary systems
- Hidden model switching that degrades quality
What You Gain with Kilo for Teams
- Transparent AI costs - See exactly what providers charge
- No rate limiting - Use AI when you need it most
- Comprehensive analytics - Understand team usage patterns
- Open source extension - No vendor lock-in
- Consistent quality - No hidden model downgrades
Migration Process
Step 1: Team Assessment
- Audit current Cursor usage across your team
- Identify active users and their usage patterns
- Calculate current costs (if visible) vs. Kilo for Teams pricing
- Plan migration timeline to minimize disruption
Step 2: Kilo for Teams Setup
- Create organization at app.kilocode.com
- Subscribe to Teams with appropriate seat count
- Configure team settings and usage policies
- Purchase initial AI credits based on usage estimates
Step 3: Team Migration
- Invite team members to Kilo for Teams
- Install Kilo Code extension alongside Cursor initially
- Migrate projects gradually starting with non-critical work
- Train team on Kilo Code features and workflows
Step 4: Full Transition
- Monitor usage patterns in Kilo for Teams dashboard
- Optimize settings based on team feedback
- Cancel Cursor subscriptions once fully migrated
- Uninstall Cursor from team machines
Cursor Feature Mapping
| Cursor Feature | Kilo for Teams Equivalent |
|---|---|
| AI Chat | Chat interface with multiple modes |
| Code Generation | Code mode with advanced tools |
| Code Editing | Fast edits and surgical modifications |
| Codebase Understanding | Codebase indexing and search |
| Team Management | Comprehensive team dashboard |
| Usage Analytics | Detailed usage and cost analytics |
Migrating from GitHub Copilot
Limitations You're Escaping
- Limited model choice - Stuck with GitHub's model selection
- Basic team features - Minimal team management capabilities
- No cost visibility - Hidden usage costs in subscription
- Microsoft ecosystem lock-in - Tied to Microsoft services
- Limited customization - Few options for team-specific needs
Kilo for Teams Advantages
- Multiple AI providers - Choose from 18+ model providers
- Advanced team management - Roles, permissions, and analytics
- Transparent pricing - See exact costs for every request
- Provider flexibility - Switch providers or use your own API keys
- Extensive customization - Custom modes and team policies
Migration Strategy
Phase 1: Parallel Usage (Week 1-2)
- Keep GitHub Copilot active during transition
- Install Kilo Code extension for team members
- Start with simple tasks in Kilo Code
- Compare results and team satisfaction
Phase 2: Gradual Transition (Week 3-4)
- Use Kilo Code for new projects
- Migrate existing projects one at a time
- Train team on advanced features
- Optimize usage patterns based on analytics
Phase 3: Full Migration (Week 5+)
- Disable GitHub Copilot for most team members
- Cancel GitHub Copilot subscriptions
- Optimize Kilo for Teams settings
- Document new workflows and best practices
GitHub Copilot Feature Comparison
| GitHub Copilot | Kilo for Teams | Advantage |
|---|---|---|
| Code suggestions | AI-powered code generation | ✅ More model choices |
| Chat interface | Multi-mode chat system | ✅ Specialized modes |
| Team admin | Comprehensive team management | ✅ Advanced analytics |
| Usage insights | Detailed usage and cost tracking | ✅ Transparent pricing |
| Model selection | 18+ AI providers and models | ✅ No vendor lock-in |
Migrating from Other AI Coding Tools
Common Migration Patterns
From Tabnine
- Benefit: More advanced AI models and team features
- Process: Export settings, migrate team, configure advanced features
- Timeline: 1-2 weeks for full transition
From CodeWhisperer
- Benefit: Escape AWS ecosystem lock-in, better team management
- Process: Parallel usage, gradual migration, team training
- Timeline: 2-3 weeks for enterprise teams
From Replit AI
- Benefit: Use in VS Code instead of web-based IDE
- Process: Export projects, set up local development, team onboarding
- Timeline: 3-4 weeks including development environment setup
Universal Migration Checklist
Pre-Migration Planning
- Audit current AI coding tool usage
- Identify team members and their roles
- Calculate current costs vs. Kilo for Teams pricing
- Plan migration timeline and milestones
- Prepare team communication and training
Migration Execution
- Set up Kilo for Teams organization
- Configure team settings and policies
- Invite team members and assign roles
- Install Kilo Code extension across team
- Start with pilot projects or non-critical work
Post-Migration Optimization
- Monitor usage patterns and costs
- Optimize team settings based on analytics
- Train team on advanced features
- Cancel previous AI coding tool subscriptions
- Document new workflows and best practices
Cost Comparison Analysis
Hidden Costs in Other Tools
Subscription Models Hide True Costs
- Monthly fees regardless of actual usage
- No visibility into per-request costs
- Rate limiting forces inefficient workflows
- Model switching without notification
Kilo for Teams Transparent Pricing
- Pay exactly what AI providers charge
- See cost of every request in real-time
- No rate limiting or usage restrictions
- Choose optimal models for each task
ROI Calculation Framework
Current Tool Analysis
- Monthly subscription costs × team size
- Hidden productivity losses from rate limiting
- Opportunity costs from limited model access
- Management overhead from poor team visibility
Kilo for Teams Benefits
- Transparent AI costs (typically 30-50% lower)
- Productivity gains from no rate limiting
- Better outcomes from optimal model selection
- Reduced management time with comprehensive analytics
Sample Cost Comparison
10-person team, moderate AI usage:
| Tool | Monthly Cost | Hidden Costs | Total |
|---|---|---|---|
| Cursor Pro | $200/month | Rate limiting losses | ~$300/month |
| GitHub Copilot | $190/month | Limited model access | ~$250/month |
| Kilo for Teams | $290 + AI costs | None | ~$200/month |
Actual savings vary based on usage patterns and team efficiency gains.
Team Training and Adoption
Training Program Structure
Week 1: Basics
- Kilo Code extension installation and setup
- Basic chat interface and mode usage
- Understanding transparent pricing model
- Team dashboard overview
Week 2: Advanced Features
- Custom modes and specialized workflows
- Advanced tools and automation
- Team collaboration features
- Usage optimization strategies
Week 3: Team Optimization
- Analytics review and insights
- Cost optimization techniques
- Workflow integration and best practices
- Advanced team management features
Adoption Best Practices
Start Small
- Begin with volunteer early adopters
- Use for non-critical projects initially
- Gather feedback and iterate
- Expand gradually across team
Provide Support
- Dedicated migration support channel
- Regular check-ins with team members
- Documentation and training resources
- Quick resolution of issues and questions
Measure Success
- Track usage adoption rates
- Monitor cost savings and efficiency gains
- Collect team satisfaction feedback
- Document success stories and best practices
Common Migration Challenges
Technical Challenges
Extension Conflicts
- Issue: Multiple AI coding extensions interfering
- Solution: Disable old extensions during transition
- Prevention: Staged migration with clear timelines
Workflow Disruption
- Issue: Team productivity dip during transition
- Solution: Parallel usage period with gradual migration
- Prevention: Comprehensive training and support
Settings Migration
- Issue: Lost customizations from previous tools
- Solution: Document and recreate important settings
- Prevention: Settings audit before migration
Organizational Challenges
Change Resistance
- Issue: Team members reluctant to switch tools
- Solution: Demonstrate clear benefits and provide training
- Prevention: Involve team in migration planning
Budget Approval
- Issue: Finance team concerns about new tool costs
- Solution: Provide detailed cost comparison and ROI analysis
- Prevention: Transparent pricing documentation
Timeline Pressure
- Issue: Pressure to migrate quickly without proper planning
- Solution: Phased migration approach with clear milestones
- Prevention: Realistic timeline planning with buffer time
Migration Support
Professional Migration Services
- Migration planning and timeline development
- Team training and onboarding support
- Custom integration development
- Ongoing optimization consulting
Self-Service Resources
- Migration guides for specific tools
- Video tutorials for common migration scenarios
- Community support through Discord and forums
- Documentation and best practices
Getting Migration Help
- Email: migrations@kilocode.ai
- Discord: Join our migration support channel
- Consultation: Schedule free migration planning call
- Documentation: Comprehensive migration guides
Success Stories
Mid-Size Software Company (25 developers)
Previous: Cursor Pro subscriptions Challenge: High costs with limited visibility Result: 40% cost reduction with better team insights Timeline: 3-week migration with zero productivity loss
Enterprise Development Team (100+ developers)
Previous: GitHub Copilot Enterprise Challenge: Limited model choice and team management Result: Improved code quality and team collaboration Timeline: 6-week phased migration across multiple teams
Startup Engineering Team (8 developers)
Previous: Multiple individual AI tool subscriptions Challenge: Expense report chaos and no team coordination Result: Centralized billing and improved team efficiency Timeline: 1-week migration with immediate benefits
Next Steps
Ready to make the switch? Contact our migration team at migrations@kilocode.ai to plan your transition to transparent AI coding.