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Tabnine

From Tabnine

AI Code Completion Assistant with Enterprise Control and Context Awareness
Tool Release Date

1 Jan 2018

Tool Users
1 Million+
0.0

Pricing Model

Starting Price

$59/Month

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About This AI

Tabnine is a leading AI-powered code assistant that provides intelligent, context-aware code completions and suggestions directly in developers’ IDEs.

It supports a wide range of programming languages and major IDEs including VS Code, JetBrains, Visual Studio, Eclipse, and more, offering both cloud-based and fully private/local deployment options.

Key strengths include an Enterprise Context Engine that learns from your organization’s codebase, architecture, frameworks, and coding standards to deliver highly relevant suggestions aligned with security and compliance needs.

The tool emphasizes total enterprise control with flexible deployment (SaaS, VPC, on-premises, air-gapped), Zero Trust compliance, granular access policies, auditability, and no data leakage in secure modes.

Tabnine supports preferred AI models (including open-source and proprietary LLMs), agentic capabilities across the SDLC (planning, coding, testing, docs), and high accuracy through repository history, open files, and terminal context.

Founded in 2013 (originally as Codota) and pioneering AI code assistance since 2018, Tabnine is trusted by over one million developers and thousands of organizations worldwide.

It is recognized as a Visionary in the 2025 Gartner Magic Quadrant for AI Code Assistants and a Leader in Omdia reports.

Pricing starts with a free tier; paid plans begin at $59 per user per month for advanced features, with custom Enterprise options available.

Key Features

  1. Context-aware completions: Suggestions based on current file, open files, terminal output, and full repository history
  2. Enterprise Context Engine: Learns organization-specific architecture, frameworks, standards, and patterns
  3. Flexible deployment: SaaS, VPC, on-premises, or fully air-gapped for maximum security
  4. Zero Trust compliance: Ensures no data leaves infrastructure in private setups
  5. Model flexibility: Supports preferred LLMs including open-source and proprietary models
  6. Agentic SDLC coverage: Assists in planning, code creation, testing, documentation, and more
  7. Granular controls: Centralized visibility, access policies, enforcement, and full audit logs
  8. High accuracy suggestions: Improves relevance and reduces hallucinations through deep context
  9. IDE integrations: Works in VS Code, JetBrains, Visual Studio, Eclipse, and others
  10. Secure private mode: Fully local processing with no external data transmission

Price Plans

  1. Free ($0): Basic code completions and suggestions with limited context and features
  2. Pro/Team ($59/user/Month annual): Full context engine, advanced completions, agentic capabilities, priority support, higher limits
  3. Enterprise (Custom): All Pro features plus on-prem/air-gapped deployment, dedicated support, custom SLAs, advanced security/compliance

Pros

  1. Strong enterprise focus: Unmatched deployment flexibility and compliance for secure environments
  2. Highly personalized suggestions: Context engine delivers organization-specific, high-relevance code
  3. Trusted adoption: Over one million developers and thousands of companies rely on it
  4. Model choice freedom: Use your preferred LLMs without vendor lock-in
  5. Privacy-first design: Air-gapped and on-prem options ensure data never leaves control
  6. Recognized excellence: Gartner Visionary and Omdia Leader in AI code assistants
  7. Wide IDE support: Integrates smoothly into most popular development environments

Cons

  1. High starting price: Paid plans begin at $59 per user per month for full features
  2. Enterprise-heavy: Best value for teams/companies; individual devs may prefer lighter options
  3. Setup complexity: On-prem/air-gapped deployments require IT involvement
  4. Model dependency: Quality varies by chosen LLM; no single built-in model dominates
  5. Limited free tier: Basic suggestions only; advanced context and agents need paid plan
  6. No consumer web app: Primarily IDE-integrated; no standalone browser experience

Use Cases

  1. Enterprise software development: Secure, compliant code assistance in regulated industries
  2. Large codebase maintenance: Context-aware suggestions for legacy and mixed-stack projects
  3. Team coding standards: Enforce organization patterns and best practices automatically
  4. Secure environments: Air-gapped or on-prem coding for defense, finance, government
  5. AI model experimentation: Test different LLMs within the same IDE workflow
  6. Productivity in IDEs: Faster coding with relevant completions across languages/IDEs
  7. DevOps and SDLC automation: Agentic help for planning, testing, and documentation

Target Audience

  1. Enterprise development teams: Needing secure, governed AI coding assistance
  2. Large organizations: With compliance requirements and complex codebases
  3. DevOps and security-focused companies: Prioritizing data privacy and control
  4. Professional developers: In regulated industries like finance, healthcare, government
  5. Teams using multiple LLMs: Wanting flexibility in model choice
  6. Organizations scaling AI adoption: Seeking centralized control and auditability

How To Use

  1. Sign up: Create account on tabnine.com and choose deployment (SaaS or private)
  2. Install extension: Add Tabnine plugin to your IDE (VS Code, JetBrains, etc.)
  3. Configure context: Enable Enterprise Context Engine and set policies (admin for teams)
  4. Start coding: Receive real-time suggestions as you type; accept with Tab key
  5. Select model: Switch LLMs if desired for specific tasks
  6. Use agents: Leverage SDLC agents for planning, testing, or docs generation
  7. Monitor and audit: Use admin dashboard for usage, policies, and reports (Enterprise)

How we rated Tabnine

  • Performance: 4.8/5
  • Accuracy: 4.7/5
  • Features: 4.8/5
  • Cost-Efficiency: 4.4/5
  • Ease of Use: 4.6/5
  • Customization: 4.9/5
  • Data Privacy: 5.0/5
  • Support: 4.5/5
  • Integration: 4.8/5
  • Overall Score: 4.8/5

Tabnine integration with other tools

  1. Major IDEs: VS Code, JetBrains (IntelliJ, PyCharm, etc.), Visual Studio, Eclipse, and more
  2. Deployment environments: SaaS, VPC, on-premises, fully air-gapped setups
  3. AI models: Supports preferred LLMs including open-source and proprietary options
  4. Enterprise tools: Integrates with internal codebases, CI/CD, and security systems
  5. Admin dashboard: Centralized control for teams, policies, and auditing

Best prompts optimised for Tabnine

  1. Not applicable - Tabnine is an AI code completion tool that works automatically in your IDE without manual prompting for content generation.
Tabnine excels as an enterprise-grade AI code assistant with unmatched deployment flexibility, strong context awareness, and full privacy control in air-gapped setups. Trusted by over one million developers, it delivers highly relevant completions tailored to organizational standards. At $59/user/month, it’s a premium choice for secure, high-stakes development teams.

FAQs

  • What is Tabnine AI?

    Tabnine is an AI code assistant that provides context-aware code completions and suggestions in IDEs, with enterprise-grade control, privacy options, and support for preferred AI models.

  • Is Tabnine free to use?

    Yes, it offers a free tier with basic completions; paid plans start at $59 per user per month for advanced context, agents, and enterprise features.

  • How many users does Tabnine have?

    Tabnine is trusted by over one million developers and thousands of organizations worldwide.

  • What IDEs does Tabnine support?

    It integrates with VS Code, JetBrains IDEs (IntelliJ, PyCharm, etc.), Visual Studio, Eclipse, and other major development environments.

  • Does Tabnine support private deployment?

    Yes, it offers fully air-gapped, on-premises, or VPC options for maximum security and compliance in enterprise environments.

  • When was Tabnine founded?

    Originally founded as Codota in 2013; the Tabnine AI assistant launched in 2018 and the company rebranded to Tabnine in 2021.

  • What makes Tabnine different from Copilot?

    Tabnine emphasizes enterprise control, private deployment, context personalization from your codebase, and model flexibility without vendor lock-in.

  • Is Tabnine suitable for regulated industries?

    Yes, its Zero Trust compliance, air-gapped options, and auditability make it ideal for finance, healthcare, government, and other high-security sectors.

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