AI code assistant that accelerates development while ensuring privacy.

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October 19, 2022

Tabnine AI Code Assistant

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AI code assistant that accelerates development while ensuring privacy.

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Overview

Tabnine is an AI-powered tool designed to facilitate and accelerate software development while maintaining the privacy and integrity of your code. It offers first-rate code generation capabilities, automating routine aspects of the process and empowering developers to focus on more complex tasks.

A standout feature of Tabnine is its AI chat that supports every stage of the Software Development Life Cycle (SDLC), providing AI-assisted advice and improvements for more efficient coding and debugging.

The tool delivers personalized services, tailoring its suggestions to the context of your code, your work habits and your teams requirements. It supports popular programming languages, libraries and Integrated Development Environments (IDEs), and allows the creation of custom models trained on your codebase.

Keenly focused on privacy and security, Tabnine does not retain any data from your codebase, nor uses it to train its proprietary models. The tool can be deployed on-premises, as secure software-as-a-service (SaaS), or on Virtual Private Clouds (VPCs).

With the enterprise-grade security and compliance, including adherence to SOC 2 and GDPR, Tabnine also provides protection from Intellectual Property (IP) liability issues, training its models only on permissively licensed code, and offering indemnification to enterprise users.

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November 6, 2018

Initial release of Tabnine AI Code Assistant.

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Pros and Cons

Pros

Whole-line code completions

Full-function code completions

Tailored to individual coding patterns

Optimization for specific languages

Adapts to coding standards

Connects to private repositories

User privacy emphasis

No user code storage

Trains on open-source code

Automates routine tasks

Personalized services

Contextual suggestions

Supports popular programming languages

Supports popular IDEs

Custom models creation

Zero data retention policy

Deployable on-premises

Offered as secure SaaS

Deployable on Virtual Private Clouds

Enterprise-grade security and compliance

Adherence to SOC 2 and GDPR

IP liability protection

Models trained on permissively licensed code

IP indemnification for enterprise users

Context-aware suggestions

Create bespoke models

View 21 more pros

Cons

Limited language-specific optimizations

Dependent on developer's patterns

Requires adaptation to user habits

Limited to popular IDEs

Requires explicit permission for data sharing

Needs periodic re-training

May disregard minority programming preferences

At risk of over-personalization

Lack of instant completions

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Q&A

What is Tabnine?

Tabnine is an AI code assistant designed to streamline and accelerate the software development process. Its AI models are tailored to each developer's coding patterns and preferences, promoting efficient coding and debugging. This tool is developed with a strong focus on privacy and security, ensuring the user's code is free from infringement issues and risk.

How does Tabnine assist software developers?

Tabnine offers code completion capabilities, supporting coders in drafting their code more quickly and accurately. It connects to the developer's preferred repositories to learn and adapt to their coding standards and best practices. Tabnine's AI models generate complete lines of code or function structures as per the developer's coding patterns. This enables developers to shift their focus from tedious tasks towards more complex aspects of development.

What are the key features of Tabnine?

Tabnine's key features include whole-line and full-function code completions, flexibility in running AI completions - on a local machine, a server, or the cloud, and custom model creation. It offers personalized coding suggestions based on context and user preferences, and supports popular programming languages and Integrated Development Environments. Also, Tabnine places paramount importance on user privacy and code security.

Can Tabnine be run on my local machine?

Yes, Tabnine does provide the flexibility to run the AI completions on your local machine, serving as an offline tool in addition to server and cloud-based usage modes.

How is Tabnine's AI model trained?

The AI model of Tabnine is trained from scratch based on code. Each model is optimized for a specific language or domain. It adapts to coding standards and best practices by integrating with private repositories like GitHub, GitLab, and Bitbucket, learning from the code therein. However, for its public code AI model, only open-source code with permissive licenses is used.

Does Tabnine maintain user privacy?

Absolutely, Tabnine emphasizes user privacy by storing no user code or sharing it beyond the immediate timeframe necessary for training its models. You have the control over where and how Tabnine gets deployed, reinforcing the commitment to protect user privacy.

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Is my code safe with Tabnine?

Yes, your code is safe with Tabnine. It doesn't keep any data related to your codebase nor uses it to train its proprietary models. Furthermore, your code is never stored or shared without explicit permission, providing you with absolute security and privacy.

How does Tabnine support the Software Development Life Cycle (SDLC)?

Tabnine supports every stage of the Software Development Life Cycle (SDLC). From code creation, testing, fixing, and documenting, to maintaining, its integrated AI chat provides context-specific advice, suggestions for improvements, and offers solutions for more efficient coding and debugging.

How personalized are Tabnine's coding suggestions?

Tabnine's coding suggestions are highly personalized. They are context-aware, taking into account your code patterns, work habits, and team requirements. This way, Tabnine delivers a unique coding assistance experience tailored to individual needs.

What programming languages does Tabnine support?

Tabnine supports most popular programming languages, ensuring a wide-range of developers are able to benefit from its capabilities. While the specific languages are not stated explicitly, Tabnine's commitment to versatility makes it highly probable that it supports the likes of Python, Java, JavaScript, and other widely used programming languages.

Can I create custom models with Tabnine?

Yes, Tabnine allows you to create custom AI models trained on your specific codebase. This enhances the tool's ability to deliver bespoke recommendations and suggestions tailored to your unique coding practices.

What makes Tabnine's code generation capabilities superior?

What sets Tabnine apart is its ability to auto-generate high-quality code from plain text, and its potential to eliminate repetitive tasks. It enables developers to focus more on their creative endeavors while encouraging efficient and enjoyable coding experience.

How does Tabnine ensure it does not retain any data from my codebase?

Tabnine ensures it does not retain any data from your codebase by complying with a zero data retention policy. The AI models are proprietary and are not trained using your code, safeguarding your code from any external exposure. Your code is never stored or shared without your specific permission.

Can Tabnine offer protection from Intellectual Property (IP) liability issues?

Tabnine offers protection from Intellectual Property (IP) liability issues by training its AI models on permissively licensed code only. This practice combined with enterprise-grade security and adherence to standards such as GDPR and SOC 2, provides robust protection against IP infringements.

Does Tabnine adhere to any security standards?

Yes, Tabnine adheres to enterprise-grade security standards. It is built to accommodate high-security measures, ensuring that your code and information are safe from threats and vulnerabilities.

Are there any compliance measures in place for Tabnine?

Tabnine complies with security standards such as SOC 2 and GDPR. These affirm Tabnine's dedication to managing customer data in a secure manner, preventing unauthorized access or exposure, and keeping it confidential.

Does Tabnine support my preferred Integrated Development Environment (IDE)?

Absolutely, Tabnine supports the most popular Integrated Development Environments (IDEs) used by developers, allowing for seamless integration with your preferred working environment.

What are my deployment options with Tabnine?

Tabnine lets you choose your preferred deployment option based on your specific requirements: on-premises, as secure software-as-a-service (SaaS), or on Virtual Private Clouds (VPCs). This flexibility allows you to select the most suitable way for integrating Tabnine within your framework.

How can Tabnine help expedite debugging?

Tabnine expedites debugging by offering AI-assisted insights and recommendations for resolving code issues. Its AI model, trained on different coding patterns and practices, can help to rapidly identify and address bugs, thus reducing time spent on debugging activities.

What kind of code completions does Tabnine offer?

Tabnine offers whole-line and full-function code completions. Its AI models provide complete lines of code and function structures as suggestions based on the individual developer's coding patterns and preferences, aiming to help users write code faster and more accurately.

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