Tabnine functions as an IDE extension that generates inline code completions as developers type. It can run on Tabnine's cloud infrastructure or locally on the developer's machine using a smaller local model. Chat features enable conversational coding assistance within the IDE. Enterprise users can train Tabnine on their organisation's own codebase to improve the relevance of completions for internal patterns and libraries.
Tabnine
Tabnine is an AI coding assistant known for its strong privacy-first positioning, offering both cloud-hosted and fully local AI code completion models. It was one of the earliest AI code completion tools in the market, predating GitHub Copilot's release.
Tabnine integrates with popular IDEs including VS Code, JetBrains, and others, providing inline code completions and an AI chat assistant. Its enterprise offering emphasises that customer code is never used in model training, and local model options allow completions without any code leaving the developer's machine.
Tabnine is particularly well-suited for enterprise engineering teams with strict data governance requirements, regulated industry environments, or organisations that have concerns about training data usage and intellectual property.
Best For
- Enterprise engineering teams with data privacy requirements
- Developers in regulated industries (finance, healthcare, government)
- Organisations concerned about training data and IP
- Teams wanting organisation-specific code completions
- Developers preferring a local-first AI model option
How It Works
Key Features
Core Capabilities
- AI inline code completion
- Cloud and local model options
- IDE integration (VS Code, JetBrains, others)
- Multi-language support
- AI chat assistant
Advanced Capabilities
- Custom model training on private codebase
- Zero data retention guarantee (Enterprise)
- On-premise or VPC deployment
- Admin and policy controls
- Compliance certifications
Pros & Cons
Pros
- Industry-leading privacy and data control options
- Local model option for air-gapped or locked-down environments
- Custom training on proprietary codebase
- Long track record in AI code completion market
- Clear compliance and security documentation
Cons
- Local model is less capable than cloud model or premium alternatives
- Base cloud completions are comparable to but not beyond Copilot
- Enterprise features require higher-tier investment
- Less innovative UX evolution compared to Cursor
- Smaller community discussion and prompt-sharing ecosystem
Pricing
Tabnine offers a free plan with basic code completion using a smaller model. Pro plans provide access to the full cloud model and chat features. Enterprise plans include custom model training, on-premise deployment, zero data retention guarantees, and compliance documentation. Pricing is per seat with volume discounts available.
How It Compares
Tabnine and Codeium are the primary privacy-focused alternatives to GitHub Copilot in the AI code completion space. Tabnine is more established and has stronger enterprise compliance documentation. Codeium has a more generous free tier and broader editor support. For maximum AI coding capability regardless of privacy, Cursor and Copilot remain more capable. Tabnine's clearest competitive position is in compliance-sensitive enterprise environments.