Tabnine

AI-powered code assistant that provides personalized and ecure code suggestions across multiple programming languages and IDEs.

What is

Tabnine

?

Tabnine is a leading AI code assistant that offers context-aware code completions while maintaining strict privacy standards. The platform supports multiple programming languages and integrates seamlessly with popular IDEs. With features like zero data retention and air-gapped deployments, Tabnine ensures your code remains private and secure while boosting developer productivity.

Key Features
  • Multi-language support across 30+ programming languages
  • IDE integrations for VS Code, IntelliJ, Visual Studio, and more
  • Context-aware suggestions based on your codebase
  • AI agents for code review, documentation, and testing
  • Private deployment options including air-gapped environments
Pricing
  • Free Plan: Basic code suggestions
  • Pro Plan: Advanced AI features and personalization
  • Enterprise Plan: Custom pricing with enhanced security
Pros:
  • Privacy-focused with zero data retention
  • Highly personalized code suggestions
  • Extensive IDE support
  • Enterprise-grade security
  • Ranked highly in Gartner's Critical Capabilities
Cons:
  • Privacy-focused with zero data retention
  • Highly personalized code suggestions
  • Extensive IDE support
  • Enterprise-grade security
  • Ranked highly in Gartner's Critical Capabilities
Who is it for?
  • Software developers and engineers
  • Development teams of all sizes
  • Enterprise organizations with security requirements
  • Individual programmers seeking productivity gains
Best use cases
  • Software development across multiple languages
  • Code review and documentation
  • Team collaboration on development projects
  • Enterprise development with security requirements
API Integrations
  • VS Code extension
  • IntelliJ IDEA plugin
  • Visual Studio integration
  • Eclipse and Android Studio support
Security
  • Zero data retention policy
  • Air-gapped deployment options
  • Enterprise-grade security compliance
  • Private model training capabilities
Implementation
  • Implementation typically takes 1-2 weeks from installation to full team adoption, with initial setup completed in minutes through IDE extensions.
Best Alternatives
  • GitHub Copilot - https://github.com/features/copilot
  • Codeium - https://codeium.com/
  • Amazon CodeWhisperer - https://aws.amazon.com/codewhisperer/
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