Tabnine

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Tabnine is a cutting-edge, AI-powered code assistant designed to supercharge software development by delivering context-aware code completions, intelligent chat-based support, and end-to-end lifecycle automation—all while preserving your organization’s code privacy and compliance. Whether deployed as a cloud service, within your private network (VPC), on-premises, or even air-gapped, Tabnine allows developers in IDEs like VS Code, JetBrains, Eclipse, and more to generate, explain, test, document, and refactor code seamlessly, backed by enterprise-grade security, license-safe models, and intelligent AI agents that learn from your codebase—not millions of public repositories.

Features:

  • Context-Aware Code Completion & AI Chat: Offers real-time, intelligent code suggestions (lines or full functions) and a natural-language chat interface to generate, explain, refactor, or document code directly in your IDE.
  • Complete Privacy, Compliance & Secure Deployment Options: Supports fully private deployments—cloud, VPC, on-premises, or air-gapped—ensuring zero data retention, IP protection, and use of only permissively licensed training code.
  • Highly Personalized AI & Enterprise Context Engine: Learns from your workspace and team—using multi-level context (workspace files, repositories, guardrails)—to custom suggestions and enforce internal standards and policies.
  • Broad IDE, Language, and Data Model Support: Works across a vast ecosystem of IDEs (e.g., VS Code, IntelliJ, Eclipse, Neovim) and supports 80+ programming languages and frameworks—plus flexible model choices including GPT-4o, Claude, and custom endpoints.
  • Full Lifecycle Support: Plan, Test, Review, Documentation: Tabnine can also assist across SDLC tasks—helping plan features, auto-generate unit tests, conduct AI-based code reviews, explain legacy code, maintain and refactor existing code, and generate formal documentation.

💡 This AI tool has not been verified by our editorial team. If you are the owner or team member of this AI product, please check out our partnership page.

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About the author
Michal Sutter

Michal Sutter

Michal Sutter is a data science professional with a Master of Science in Data Science from the University of Padova.

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