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Warp AI
✓ verifiedFreemium
AI-powered modern terminal with huge traffic and adoption; category-defining developer tool.
👁 1.7M/mo♥ 22K
Pricing
No public pricing
Essential: $29 per seat/mo (billed annually) + $0.99 per Fin resolution
Advanced: $85 per seat/mo (billed annually) + $0.99 per Fin resolution
Expert: $132 per seat/mo (billed annually) + $0.99 per Fin resolution
Fin AI Agent (on existing helpdesk): $0.99 per Fin resolution (50 resolutions per month minimum)
Copilot: $29 per agent/mo (billed annually)
Proactive Support Plus: $99 /mo
No public pricing
Free: $0
Build: $20/mo ($18/mo billed annually, 1,500 credits)
Max: $200/mo ($180/mo billed annually, 12x Build credits)
Business: $50/user/mo ($45/user/mo billed annually)
Free trial available
Core features
- ✦AI-powered code autocompletion
- ✦Context-aware code referencing and chat
- ✦Natural language code editing
- ✦Customizable AI code assistants
- ✦Fin AI Agent for automated customer support
- ✦Omnichannel support (inbox, tickets, phone, help center)
- ✦AI-enhanced inbox for agent productivity
- ✦AI Insights & Reporting for performance optimization
- ✦Workflow automation with a visual builder
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦AI Tools for code generation and debugging
- ✦Modern UX with IDE-like input editor
- ✦Warp Drive for knowledge sharing
- ✦Real-time session sharing
- ✦Customizable themes and keybindings
Use cases
- →Accelerate development with AI-powered autocompletion.
- →Improve code understanding with context-aware chat.
- →Refactor code using natural language instructions.
- →Providing instant customer service with Fin AI Agent
- →Managing customer inquiries across multiple channels
- →Automating support workflows to improve efficiency
- →Empowering support agents with AI-powered tools
- →Gaining insights into customer service performance
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Generating commands with natural language
- →Explaining errors and troubleshooting
- →Sharing repeatable runbooks with a team
- →Pair programming and live assistance
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