Tabnine
AI-powered code completion for enterprise development
Founded
2013
Starting Price
0
Category
Developer Tools
Last updated April 27, 2026
About Tabnine
Tabnine is an enterprise-grade AI code assistant that provides intelligent code completions, AI chat, and autonomous coding agents across the full software development lifecycle. Built with a privacy-first architecture, it offers flexible deployment options including SaaS, VPC, on-premises, and fully air-gapped environments for security-conscious organizations.
Pros & Cons
Pros
- Industry-leading privacy with zero code retention and true air-gapped deployment
- Flexible deployment options from SaaS to fully air-gapped environments
- Broad IDE and language coverage with 80+ languages and all major IDEs
- Enterprise compliance with SOC 2, GDPR, HIPAA, and ITAR certifications
- Multi-model flexibility letting developers choose from multiple AI providers
Key Features
AI Code Completions
Real-time single-line and multi-line code suggestions powered by LLMs, supporting 80+ languages and frameworks
AI Chat in IDE
In-IDE conversational AI supporting the entire SDLC with models from Anthropic, OpenAI, Google, Meta, and Mistral
Enterprise Context Engine
Connects to your codebase to provide organization-aware, context-rich suggestions aligned with team standards
Autonomous AI Agents
Agentic workflows that can autonomously implement tasks, run tests, and validate code with optional human oversight
Air-Gapped Deployment
Fully offline, zero-dependency deployment for classified and regulated environments with no data egress
Zero Code Retention
Code is never stored, never used for training, and never shared with third parties
Jira Integration
Deep integration with Jira for AI agents to implement and validate issues directly from project management
Pricing
Dev
0/month
- Basic AI code completions
- AI chat
- Community support
- Runs locally
Code Assistant Platform
39
Best For
Regulated Industry Development
Defense, aerospace, and healthcare organizations deploy Tabnine in air-gapped environments with zero data egress
Enterprise Code Standardization
Large teams use Coaching Guidelines to ensure AI-generated code follows organizational conventions
Secure Financial Services Development
Banks and fintech leverage on-premises deployment to accelerate development without risking proprietary code
Legacy Code Modernization
Teams connect the Context Engine to understand existing patterns and generate modernized code
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