Code completions and chat
Provides AI code completions for current lines and multiple lines, plus chat in the IDE to help developers write, understand, and refactor code faster.
Tabnine is an AI code assistant for developers and engineering teams, with code completions, in-IDE chat, and enterprise deployment options. It emphasizes code privacy, governance, and context-aware AI grounded in the user’s codebase.
Tabnine is an AI code assistant and enterprise AI coding platform for developers and teams that want code completions, chat, and agentic workflows grounded in their own codebase. The site positions it as a tool for accelerating software development while keeping code private, secure, and compliant.
The product is designed to work in major IDEs and in enterprise environments that need control over deployment, access, and governance. Tabnine also emphasizes its Enterprise Context Engine, which structures organizational knowledge so AI agents can reason over architecture, dependencies, and coding standards more reliably.
Provides AI code completions for current lines and multiple lines, plus chat in the IDE to help developers write, understand, and refactor code faster.
Grounds suggestions in your codebase and enterprise context so responses can reflect internal architecture, frameworks, and coding standards.
Supports deployments in SaaS, VPC, on-premises, or fully air-gapped environments, giving teams control over where code and data live.
Offers zero code retention, no training on customer code, and no sharing of code with third parties, along with end-to-end encryption and TLS.
Includes governance and audit features such as access controls, policy enforcement, analytics, and visibility into usage, cost, and compliance.
Extends beyond the editor with a CLI, MCP-based tool access, and support for connected codebases and enterprise systems such as Jira, Confluence, Git, and source control platforms.
Developers can use inline completions and chat to draft code, understand unfamiliar modules, and refactor existing functions without leaving the IDE.
Teams with strict security or compliance requirements can deploy Tabnine in controlled environments and keep code processing inside their preferred boundary.
Organizations can use the Enterprise Context Engine to align AI outputs with internal architecture, dependencies, and coding standards across mixed stacks.
Engineering groups can connect supporting systems such as Jira, Confluence, Git, and code repositories to inform suggestions and automate development tasks.
Teams evaluating agentic AI can use the platform’s CLI and autonomous agent features to handle code changes, refactoring, and pull-request-oriented tasks.
Tabnine is an AI code assistant for software development teams. It provides code completions, in-IDE chat, and agentic workflows grounded in a codebase and enterprise context.
Tabnine supports SaaS, VPC, on-premises, and fully air-gapped deployment options, with secure deployments available for enterprise environments.
The pricing page lists the Code Assistant Platform at $39 per user per month on an annual subscription, and the Agentic Platform at $59 per user per month on an annual subscription. The page also references a demo and quote flow for learning more.
Tabnine says it uses zero code retention, does not train on your code, does not share your code with third parties, and offers end-to-end encryption plus TLS.
The pricing page says Tabnine integrates with major IDEs and includes Atlassian Jira Cloud and Data Center integration for the Code Assistant Platform. The site also references codebase connections for Bitbucket, GitHub, GitLab, and Perforce P4 in the Agentic Platform.
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