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Tabnine

by Tabnine

AI CodingAI CodingAI Code AssistantAI Developer ToolAI AgentAI Code ReviewAI Software Development

Enterprise AI coding platform for code completion, chat, code review, testing, agents, and secure software development.

Tabnine is an AI-powered software development platform focused on coding assistance, enterprise code intelligence, and agentic software development. It provides AI code completions, IDE chat, code generation, code explanation, testing, documentation, code review, refactoring, and autonomous coding agents. Tabnine can use leading models from providers such as Anthropic, OpenAI, Google, Meta, and Mistral, while its Context Engine connects AI workflows to codebases, repositories, dependencies, documentation, APIs, and organizational standards. The platform supports SaaS, VPC, on-premises, and fully air-gapped deployments for organizations that require greater control over code and AI usage.

Provider

Tabnine

Category

AI Coding

Available On

Web, VS Code, JetBrains, Visual Studio, Eclipse, IntelliJ IDEA, Terminal, CLI, CI/CD

Launched

Jan 2018

Use Cases

Coding, Software Development, Code Review, Testing

Best For

Professional developers and enterprises that need secure, context-aware AI coding, code review, testing, and agentic development workflows

🧠 Models (6)

Tabnine Custom ModelsvCurrent

Code Generation

Context Window

Varies by selected model

Input

text, code

Output

text, code

Anthropic ModelsvSupported Models

General Purpose

API

Context Window

Varies by selected model

Input

text, code

Output

text, code

OpenAI ModelsvSupported Models

General Purpose

API

Context Window

Varies by selected model

Input

text, code

Output

text, code

Google ModelsvSupported Models

General Purpose

API

Context Window

Varies by selected model

Input

text, code

Output

text, code

Meta ModelsvSupported Models

General Purpose

APIOpen Source

Context Window

Varies by selected model

Input

text, code

Output

text, code

Mistral ModelsvSupported Models

General Purpose

APIOpen Source

Context Window

Varies by selected model

Input

text, code

Output

text, code

✨ Features (14)

AI Code Completions

Generates code completions ranging from individual lines to multi-line and full-function implementations

AI Chat

Provides context-aware AI chat for coding, planning, explaining, debugging, and software development tasks

Code Review

Reviews code in IDEs and pull requests against organizational rules, standards, and expectations

Code Fix Agent

Analyzes selected code errors and can generate fixes presented through a simple diff workflow

Testing Agent

Creates test plans and detailed test cases based on project code and existing testing standards

Documentation Agent

Generates documentation for classes, functions, APIs, comments, and other code components

Code Explain Agent

Explains unfamiliar projects, dependencies, project structure, and code behavior to developers

Jira Agent

Can generate software changes from Jira requirements and validate implementations against those requirements

Context Engine

Builds structured understanding of codebases, dependencies, architecture, documentation, APIs, and organizational standards

Agentic Development

Provides autonomous coding agents with optional human oversight for complex software development workflows

MCP Support

Allows agents to interact with supported development tools and external services through Model Context Protocol

CLI Agent

Provides terminal-native AI agents for coding, refactoring, pull requests, remote environments, and CI pipelines

Private Deployment

Supports SaaS, VPC, on-premises, and fully air-gapped deployment options

Multi-Model Support

Allows teams to select supported AI models from multiple leading model providers

💰 Pricing

Free Plan

Free Trial

Paid Plan

Enterprise

Starting Price

$39/user/month

Billed annual

API Pricing

Tabnine-provided LLM access is usage-based; reserved token consumption is priced according to the underlying LLM provider plus a 5% handling fee.

💬 Prompt Library (5)

Explain Code

Coding

Understand unfamiliar code and identify potential problems

Explain the following code in simple language. Describe what each important section does, identify possible bugs and security concerns, and suggest improvements.

```[PASTE CODE HERE]```

Fix Bug

Coding

Diagnose and fix software bugs

Find the cause of the following bug. Analyze the code and error message, explain the root cause, and provide a clean fix without changing unrelated functionality.

Error: [ERROR]

Code:
```[PASTE CODE HERE]```

Generate Tests

Coding

Generate practical test cases for code

Create a comprehensive test plan for the following function or feature. Include normal cases, edge cases, invalid inputs, security-related cases, and expected results.

```[PASTE CODE HERE]```

Code Review

Coding

Perform a detailed senior-level code review

Review this code as a senior software engineer. Check readability, architecture, security, performance, error handling, scalability, maintainability, and potential bugs. Give specific recommendations.

```[PASTE CODE HERE]```

Refactor Code

Coding

Improve existing code without changing its intended behavior

Refactor the following code to make it cleaner, more maintainable, secure, and efficient. Preserve the existing behavior and explain the important changes.

```[PASTE CODE HERE]```

🔗 Integrations (8)

🎯 Related AI Coding Tools

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⚠️ Limitations

  • AI-generated code can contain bugs, security issues, or incorrect implementations
  • Advanced agentic features require higher-tier paid plans
  • Pricing is primarily designed around professional and enterprise development teams
  • Available AI models and capabilities can vary by plan and deployment configuration
  • Model context windows and capabilities vary depending on the selected underlying model
  • Enterprise features may require contacting Tabnine for a customized quote
  • AI-generated code should be reviewed and tested before production use

📚 Sources