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Pricing
No public pricing
No public pricing
Free trial available
No public pricing
Kane CLI Free: $0/mo (200 credits/month)
Kane CLI Starter: $19/mo (2,000 credits/month)
Kane CLI Pro: $99/mo (10,000 credits/month)
KaneAI Web: $199/mo billed annually (500 AI authoring sessions/month)
KaneAI Mobile + Web: $299/mo billed annually (10,000+ real devices)
Live Virtual: $15/mo billed annually (per parallel session)
Free trial available
Core features
- ✦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)
- ✦Enhanced Context Engineering for deep codebase analysis and adaptive memory
- ✦Intelligent Agents for autonomous planning, coding, and testing
- ✦Spec-Driven Development for clarifying requirements and automating execution
- ✦Intelligent Codebase Search and Advanced Repository Insight
- ✦Context-aware code completions and next-edit suggestions
- ✦Support for leading AI models (Claude, GPT, Gemini)
- ✦AI-powered code autocompletion
- ✦Context-aware code referencing and chat
- ✦Natural language code editing
- ✦Customizable AI code assistants
- ✦Online Browser Testing
- ✦Selenium Testing
- ✦Test Manager
- ✦Playwright Testing
- ✦HyperExecute
- ✦Accessibility Testing
- ✦Real Devices Cloud
- ✦Visual Regression Cloud
- ✦Test Intelligence
- ✦Automation Testing Cloud
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Delegating complex software development tasks to AI agents for autonomous completion.
- →Performing multi-file code edits and refactoring through natural language chat.
- →Gaining deep architectural understanding of a codebase to resolve issues with precision.
- →Generating unit tests, code explanations, and uncovering codebase architecture.
- →Systematically tackling software development tasks from planning to testing.
- →Accelerate development with AI-powered autocompletion.
- →Improve code understanding with context-aware chat.
- →Refactor code using natural language instructions.
- →Testing websites and web apps across different browsers and operating systems.
- →Running Selenium, Playwright, and Appium automation tests on a scalable cloud infrastructure.
- →Testing mobile applications on real devices.
- →Using AI to debug and analyze test results.
- →Planning, authoring, and evolving tests using natural language with KaneAI.
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