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Tabnine

Tabnine is a comprehensive AI-powered coding assistant available as an extension for multiple integrated development environments (IDEs). It goes beyond simple code completion by offering a full suite of AI capabilities that support the entire software development lifecycle. The platform uses machine learning models trained on billions of lines of code to understand context and provide intelligent code suggestions.

Tabnine distinguishes itself with its autonomous AI agents that can generate both code and tests without constant prompting, accelerating development workflows while maintaining code quality. The built-in AI chat interface allows developers to ask questions, request explanations, and generate solutions using natural language, all within their familiar IDE environment. Tabnine adapts to your coding style and project patterns, providing increasingly relevant suggestions as you use it.

Discussions

Joe Seifi's avatarJS
Builder, tinkerer, and lifelong learner. I’m the…

Has anyone had any luck using Tabnine for code reviews?

Curious if anyone's used Tabnine's free plan and played around with their code review feature. I watched their videos, and the concept sounds promising — basically modeling how your best reviewers give feedback, then turning that into automated rules for your team. Feels like a no-brainer in theory,…

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Developer

Tabnine develops AI-powered code completion tools that support the entire software development lifecycle.

Pricing and Plans

PlanPriceFeatures
FreeFree
  • Basic code completion with limited suggestions
Pro$12/monthly
  • Full AI assistant features with unlimited suggestions
EnterpriseContact us
  • Team features
  • private code protection
  • custom models

System Requirements

Operating System
Compatible with Windows, macOS, and Linux through IDE support
Memory (RAM)
8GB (recommended)
Processor
Modern multi-core processor
Disk Space
IDE requirements + 200MB for Tabnine

AI Capabilities

Predictive code completion
Test case generation
Code pattern recognition
Natural language understanding
Multi-language support
Context-aware suggestions
Autonomous agent operations
Learning from interaction patterns