Tabnine
What is Tabnine?
Tabnine is an AI-assisted software development platform for engineering teams that generates code, completes functions, explains logic, refactors existing code, and helps with tests and documentation. Its Enterprise Context Engine grounds outputs in your codebase and organizational standards, while AI chat, completions, agentic workflows, and MCP support connect it to Jira and codebases like GitHub, GitLab, Bitbucket, and Perforce. Plans run Tabnine Code Assistant at $39/month and Tabnine Agentic Platform at $59/month.
Last verifiedHow we evaluate
At a glance
- Tabnine is best for engineering teams who need private, context-aware AI across IDE and CLI.
- Tabnine Code Assistant $39/mo; Tabnine Agentic Platform $59/mo
- Yes — Tabnine advertises full MCP support so agents can connect to development tools and data through a governed interface.
What does Tabnine do?
Tabnine handles AI-assisted software development by grounding chat, completions, and agentic workflows in your codebase and organizational context. In the IDE and CLI, it can generate code, complete functions, explain complex logic, refactor existing code, and help with tests and documentation. Its Enterprise Context Engine builds a structured model of architecture, dependencies, and standards so outputs stay aligned with how your team actually works, not just generic training data. At scale, Tabnine says it has been trusted by more than one million users and thousands of organizations, and its AI code assistant page cites 8.3M, 4.2M, and 10.6k alongside a 4.7 rating. The platform is designed for mixed stacks and legacy systems, with flexible deployment in SaaS, VPC, on-premises, or fully air-gapped environments.
Why use Tabnine?
- It can run in SaaS, VPC, on-premises, or fully air-gapped environments, so teams keep control over where code lives.
- Its Enterprise Context Engine gives agents system-level understanding, which helps reduce blind exploration and improve accuracy.
- MCP support lets agents connect to approved tools and data through a governed interface instead of brittle point integrations.
- Zero code retention and no training on your code reduce exposure for teams handling sensitive IP.
- Governance controls, auditability, and usage analytics help engineering leaders manage permissions, scope, and compliance.
Who is Tabnine for?
- Platform engineering teams who need governed AI that fits existing development systems.
- Application developers who want code completion, chat, and refactoring inside their IDE.
- Engineering leaders who need policy controls, auditability, and compliance visibility.
- Teams working in legacy and mixed-stack environments that need context-aware assistance.
- Organizations with strict privacy requirements that want deployment control over code and data.
What are Tabnine's key features?
AI chat
Chat in the IDE supports every stage of the SDLC and can use Jira context plus models like Claude 3.5 Sonnet or GPT-4o for grounded answers.
completions
Generate current-line and multi-line code completions for full-function implementation across major IDEs, helping developers move from stub to working code faster.
agentic workflows
Run autonomous agents with optional user oversight for tasks like testing, documentation, code review, and Jira implementation using governed MCP access.
Enterprise Context Engine
Combine hybrid graph and vector context with real-time organizational awareness to improve agent accuracy, dependency analysis, and standards checks.
code privacy
Keep code private with SaaS, VPC, on-premises, or fully air-gapped deployment options, plus no storage, no training on your code, and no third-party sharing.
granular access controls
Control LLM access by user or team, set permissions and scope boundaries, and manage governance from a centralized admin layer for private deployments.
full auditability
Track usage metrics, code generation provenance, and compliance activity with centralized analytics for visibility into adoption, cost, and audit trails.
Supercharge your AI with MCP
Use full MCP support to connect agents to development tools and data through a governed interface, so AI can act on trusted context instead of isolated prompts.
What does Tabnine integrate with?
- Jira
- Cursor
- GitHub Copilot
- Claude Code
- Claude 3.5 Sonnet
- GPT-4o
- Command R+
- Codestral
- Atlassian Jira
- VS Code
- IntelliJ
- WebStorm
- PyCharm
- AppCode
- Android Studio
- Eclipse
- Visual Studio
- CLion
- GoLand
- PhpStorm
- RubyMine
What are Tabnine's use cases?
Platform teams govern AI usage
Platform engineering teams use Tabnine to add governed AI into existing development systems, using granular access controls and policy enforcement to keep assistance aligned with internal rules. They can also use full auditability to review usage and prove compliance without forcing developers to change IDEs.
Developers code inside the IDE
Application developers use Tabnine in VS Code or IntelliJ to speed up everyday coding, using completions and AI chat to draft lines, explain code, and refactor faster. The result is less context switching and quicker delivery of working changes inside the editor.
Legacy stacks get context-aware help
Teams working in legacy and mixed-stack environments use Tabnine to get relevant suggestions across older and newer codebases, relying on the Enterprise Context Engine to understand surrounding project context. That helps them generate safer changes and reduce time spent untangling unfamiliar dependencies.
Secure orgs keep code private
Organizations with strict privacy requirements use Tabnine to deploy AI where their code lives, using code privacy and zero data retention to avoid storing sensitive source material. They can keep development assistance available while maintaining control over data handling and deployment boundaries.
How does Tabnine work?
- Connect your first IDE, such as VS Code or IntelliJ, and turn on completions so Tabnine starts assisting inside the editor where developers already work.
- Link Jira or Atlassian Jira to give AI chat more project context, then use the Enterprise Context Engine to ground suggestions in real work.
- Set granular access controls and policy enforcement to define who can use which models, what data they can reach, and how the assistant behaves.
- Choose your deployment model with code privacy and zero data retention, whether you prefer SaaS, VPC, on-premises, or fully air-gapped operation.
- Review full auditability and usage analytics to track adoption, compliance, and team-level activity, then refine settings as your development workflow evolves.
How much does Tabnine cost?
Tabnine Code Assistant
$39/month- Code your way:
- AI-powered chat in the IDE that supports every step in the SDLC
- Using LLMs from Anthropic, OpenAI, Google, Meta, Mistral and others
- Works in all major IDEs
- Integration with Atlassian Jira Cloud and Data Center to inform AI responses and generation
- Flexible deployment options, SaaS, VPC, on-premises, or fully air-gapped. You choose where your code lives
- Zero code retention and total privacy, No storage, no training on your code, no sharing with third parties
- End-to-end encryption and TLS. Secure communication and data integrity in every environment
- SSO integration for ease of administration for private deployments
- Compliance, Meets GDPR, SOC 2, ISO 27001 and more
- License-safe AI usage. Built-in protection against licensing risks**
- Fully private deployment on SaaS or self-hosted (VPC, on-premises, with the option to be fully air-gapped)
- Compatible with all major IDEs, LLMs, languages and cloud providers
- Works across legacy systems and stacks
- No Lock-in and no forced tool changes
- Define clear boundaries and behaviors for the AI
- Governance controls to manage permissions, scope and usage
- Centralized analytics for visibility into adoption, cost and compliance
- Adjust Tabnine to follow your rules, processes and risk profile
- Auditability for all usage
- See usage metrics per user team
- Control LLM access by user/ team
- View code generation provenance
- Analytics
- Priority ticket-based support during business hours
- Training on AI-enabled software development for your entire team
Tabnine Agentic Platform
$59/month- …Includes everything in the Tabnine Code Assistant platform PLUS:
- Autonomous agents, with optional user-in-the-loop oversight
- Follows organizational standards through customizable Coaching Guidelines
- Can use various tools through the Model Context Protocol (MCP):
- Code Tools: Git operations, testing frameworks, linters
- External Services: JIRA, Confluence, databases, APIs
- Development Tools: Docker, package managers, CI/CD systems
- The Tabnine CLI, Agentic AI, Directly in Your Terminal
- Terminal-native AI coding agent for real development workflows
- Automates tasks like code changes, refactoring and pull requests
- Runs in local environments, remote sessions and CI pipelines
- Autonomous agents, with optional user-in-the-loop oversight
- A Context Engine that understands your organization and its standards, included with your subscription
- Unlimited codebase connections for Bitbucket, GitHub, Gitlab and Perforce P4 (Helix Core)
- Connects to Git, Jira, Confluence and more
- Uses your real-time development context and adapts outputs accordingly
- Applies your organizational coding standards consistently
- Surfaces the most relevant APIs, docs and code examples for your teams
- Learn more at Tabnine Context Engine
- Flexible deployment options, SaaS, VPC, on-premises, or fully air-gapped. You choose where your code lives
- Zero code retention and total privacy, No storage, no training on your code, no sharing with third parties
- End-to-end encryption and TLS. Secure communication and data integrity in every environment
- SSO integration for ease of administration for private deployments
- Compliance, Meets GDPR, SOC 2, ISO 27001 and more
- License-safe AI usage. Built-in protection against licensing risks**
- Fully private deployment on SaaS or self-hosted (VPC, on-premises, with the option to be fully air-gapped)
- Compatible with all major IDEs, LLMs, languages and cloud providers
- Works across legacy systems and stacks
- No Lock-in and no forced tool changes
- Extensible via MCP
- Define clear boundaries and behaviors for the AI
- Governance controls to manage permissions, scope and usage
- Centralized analytics for visibility into adoption, cost and compliance
- Adjust Tabnine to follow your rules, processes and risk profile
- Auditability for all usage
- Access MCP governance controls
- Set pricing thresholds per user/team
- See usage metrics per user team
- Control LLM access by user/ team
- View code generation provenance
- Analytics
- Priority ticket-based support during business hours
- Training on AI-enabled software development for your entire team
- See Headless Agent pricing here
Frequently asked questions
What is Tabnine?
Tabnine is an AI-assisted software development platform for engineering teams that generates code, completes functions, explains logic, refactors existing code, and helps with tests and documentation. Its Enterprise Context Engine grounds outputs in your codebase and organizational standards, while AI chat, completions, agentic workflows, and MCP support connect it to Jira and codebases like GitHub, GitLab, Bitbucket, and Perforce. Plans run Tabnine Code Assistant at $39/month and Tabnine Agentic Platform at $59/month.
How much does Tabnine cost? Is it free?
Tabnine has 2 paid plans: Tabnine Code Assistant at $39/month, Tabnine Agentic Platform at $59/month.
What is Tabnine used for? Who is it for?
Tabnine is used for AI chat, completions, and agentic workflows. It's built for Platform engineering teams, Application developers, and Engineering leaders.
Does Tabnine have an API and what does it integrate with?
Tabnine advertises full MCP support so agents can connect to development tools and data through a governed interface. It integrates with Jira, Cursor, GitHub Copilot, Claude Code, Claude 3.5 Sonnet, and 16 more.
Editor's read
Check whether your deployment needs the Agentic Platform tier for autonomous agents, MCP governance controls, and remote or headless CI use. If your workflow depends on those capabilities, the $39/month Code Assistant plan will not cover them.
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