Как установить tabnine в visual studio
This is the Visual Studio TabNine client, advanced AI based autocomplete for all programming languages. TabNine Indexes your entire project by reading your .gitignore or others, and determines which files to index.
- Enter long variable names using minimal keystrokes and leverage a mnemonic completion engine.
- Zero configuration. TabNine works out of the box.
- Highly responsive: Produces a list of suggestions in less than 10 milliseconds on average.
TabNine is part of Codota
Deep Completion:
Deep TabNine is trained on around 2 million files from GitHub. During training, TabNine’s goal is to predict the next token given the tokens that came before. To achieve this goal, TabNine learns complex behaviour, such as type inference in dynamically typed languages.
Deep TabNine can use subtle clues that are difficult for traditional tools to access. For example,
the return type of app.get_user() is assumed to be an object with setter methods, while the return type of app.get_users() is assumed to be a list.
Deep TabNine is based on GPT-2, which uses the Transformer network architecture. This architecture was first developed to solve problems in natural language processing. Although modelling code and modelling natural language might appear to be unrelated tasks, modelling code requires understanding English in some unexpected ways.
TabNine Deep Cloud:
TabNine requires consumption of memory resources when being run locally on your computer. It may incur some latency that is not optimal to all PC’s. With that in mind, TabNine has developed a Cloud solution, called TabNine Deep Cloud.
We understand that users concerned with their privacy prefer to keep their code on their own machine. Rest assured that we’re taking the following steps to address this concern: For individual developers, we are working on a reduced-size model which can run on a laptop with reasonable latency. Update: we’ve released TabNine Local. For enterprise users, we will soon roll-out the option to license the model and run it on your own hardware. We can also train a custom model for you which understands the unique patterns and style within your codebase. If this could be relevant to you or your team, we would love to hear more about your use case at [email protected] . Enabling TabNine Deep Cloud sends small parts of your code to our servers to provide GPU-accelerated completions. Other than for the purpose of fulfilling your query, your data isn’t used, saved or logged in any way.
Frequently Asked Questions:
TabNine works for all programming languages. TabNine does not require any configuration in order to work. TabNine does not require any external software (though it can integrate with it). Since TabNine does not parse your code, it will never stop working because of a mismatched bracket.
Will TabNine leak my source code?
By default, TabNine makes web requests only for the purposes of downloading updates and validating registration keys. In this case your code is not sent anywhere, even to TabNine servers. You may opt in to TabNine Deep Cloud, which allows you to use TabNine’s servers for GPU-accelerated completions powered by a deep learning model. If sending code to a cloud service is not possible, we also offer a self-hosted option. Contact us at [email protected]
Note:
A note on licensing: this repo includes source code as well as packaged TabNine binaries. The MIT license only applies to the source code, not the binaries. The binaries are covered by the TabNine End User License Agreement.
👩💻🤖 JavaScript, Python, Java, Typescript & all other languages - AI Code completion plugin. Tabnine makes developers more productive by auto-completing their code.
Boost your productivity with the expert guidance of an AI code completion assistant trusted by millions of developers.
Whether you are a new dev or a seasoned pro, working solo or part of a team, Tabnine’s AI assistant will increase your development velocity with code completions in all the most popular coding languages and IDEs.
Customize Your Code Completion Experience
Personalized AI Model Trained On Your Code
Tabnine for Teams provides expert inline coding guidance with an AI assistant privately trained on your team’s coding standards. Learn more
GitHub, GitLab and Bitbucket Integration
Tabnine makes it easy and secure for team admins to grant their AI assistant access to their Github, GitLab and Bitbucket repositories. Simply assign the repositories you want your AI assistant to learn from. Learn more
Tabnine - Your AI Assistant
Whether you call it IntelliSense, intelliCode, autocomplete, AI-assisted code completion, AI-powered code completion, AI copilot, AI code snippets, code suggestion, code prediction, code hinting, or content assist, you probably already know that it can massively impact your coding velocity, cutting your coding time in half.
Powered by machine learning models and trained on more than a billion lines of open-source code with permissive licenses, Tabnine is the most trusted AI-powered code completion available today.
Easily configure Tabnine’s AI models to perform faster, stronger or balanced
All the Languages You Love
Including:
Easily Disable Code Completions on Files and Languages You Specify
Code Faster with AI Completions
Tabnine reduces the need for expensive and distracting code searches and automates repetitive tasks, freeing developers to focus on creative coding.
Automate Remote Knowledge Sharing
Share knowledge effortlessly across countries and time zones. Tabnine learns your code patterns, providing expert guidance to every member of your team any time of day.
Improve Code Quality & Consistency
Tabnine Improves code consistency across your entire project, suggesting completions that align with your best practices for code that’s easier to read, manage, and maintain.
Accelerate Developer Onboarding
Tabnine’s AI assistant helps speed new team members through the onboarding process with instant inline coding guidance minimizing the training burden placed on senior developers.
Reduce Code Review Iterations
Your Tabnine AI assistant will help you get the right code the first time. Tabnine provides code guidance that’s consistent with your team’s best practices, saving costly and frustrating code review iterations.
Easy Installation
Manual Installation inside VSCode
- Press Cmd+P (mac) or Ctrl+P (Windows) in your Visual Studio Code, type ext install Tabnine.tabnine-vscode and press Enter
- Click the Reload button in the extensions tab
- The default behavior of Tabnine uses the Enter key to accept completions. If you would rather use the Enter key to start a new line, go to Settings → Editor: Accept Suggestion On Enter and turn it off.
Got a question? We’ve got the answer - Check out our FAQ page
Tabnine Support
Tabnine App
Head up to the top right hand corner of the Tabnine homepage and click on the ‘My Tabnine’ icon to instantly launch the app and easily update and manage all your Tabnine for Teams account options, team settings, and enable GitHub, GitLab, and Bitbucket integrations.
Tabnine Hub
A quick click on Tabnine on your IDE status bar takes you directly to your Tabnine Hub where you can easily update and manage all your account options and customize your suggestion preferences.
Usage
After installation, navigate to the Tabnine Settings page (Open Settings from the Command Palette) and verify that Tabnine is successfully loaded (as shown in these screenshots).
Tabnine is a textual autocomplete extension. When you type a specific string in your editor, you will be shown the Tabnine completion dialog box with suggestions for completing the code you’ve begun typing.
Deep Completion
Deep Tabnine is trained on millions of files from GitHub. During training, Tabnine’s goal is to predict the next token given the tokens that came before. To achieve this goal, Tabnine learns complex behavior, such as type inference in dynamically typed languages.
Deep Tabnine can use subtle clues that are difficult for traditional tools to access. For example, the return type of app.get_user() is assumed to be an object with setter methods, while the return type of app.get_users() is assumed to be a list.
Deep Tabnine is based on GPT-2, which uses the Transformers Network Architecture. This architecture was first developed to solve problems in natural language processing. Although modeling code and modeling natural language might appear to be unrelated tasks, modeling code requires understanding English in some unexpected ways.
- Tabnine Indexes your entire project and determines which files to ignore by reading your .gitignore
- Tabnine cuts your number of keystrokes in half and eliminates unnecessary typos
- Tabnine works right out of the box ensuring frictionless installation and configuration
- Tabnine offers code completion suggestions in less than 10 milliseconds
Communities
Frequently Asked Questions
Q: What is the difference between Tabnine Free and Tabnine Team?
A: Tabnine's Free version is a great option for junior developers working alone. The Free plan provides a reliable Basic AI code completion assistant trained on a limited block of open-source code with permissive licenses. Tabnine for Teams provides multi-model advanced AI code completions for teams of professional developers. The Tabnine Teams Private Model is trained exclusively on your team's code and the repositories you specify, maximizing the value of every development team member, improving team-wide code standardization, accelerating onboarding, and cutting code review costs. The Private AI Model significantly improves your code completion accuracy by incorporating your organization's coding standards and best practices. Tabnine for Teams users also have the option to grant their AI assistant secure read-only access to their GitHub, GitLab, and Bitbucket repositories. Every line of team-created code the AI assistant learns from amplifies the accuracy of its code completions, boosting productivity for the entire team.
Q: What are the benefits for developers upgrading to Tabnine for Teams?
A: Tabnine for Teams private AI code completion assistant is trained exclusively on your team's code and the repositories you specify. Your team's AI assistant maximizes the value of every development team member, improving team-wide code standardization, accelerating onboarding, and cutting code review costs.
Q: How do I enable GitHub integration??
A: Tabnine team admins can enable GitHub integration in the Tabnine App. Tabnine's GitHub integration makes it easy and secure to give your AI assistant access to your Github repositories. You assign the repositories you want your AI assistant to learn from, and you control the permissions.
Q: How do I enable GitLab integration??
A: Tabnine team admins can enable GitHub integration in the Tabnine App. Tabnine's GitHub integration makes it easy and secure to give your AI assistant access to your Github repositories. You assign the repositories you want your AI assistant to learn from, and you control the permissions.
Q: How do I enable GitLab integration??
A: Tabnine team admins can enable GitLab integration in the Tabnine App. Tabnine's GitLab integration makes it easy and secure to give your AI assistant access to your GitLab repositories. You assign the repositories you want your AI assistant to learn from, and you control the permissions.
Q: What type of online payments are accepted?
A: Tabnine accepts all major credit cards and debit cards, including Visa, Mastercard, American Express, and more. Tabnine also accepts Google Pay, Apple Pay, as well as additional payment options that may be available in your specific location (such as Alipay).
Q: Can I install Tabnine on multiple machines?
A: You can use your Tabnine license on as many computers and operating systems as you like. All Tabnine licenses are per-seat, rather than per-machine.
Q: Does the Tabnine Public Code Algorithm study code with permissive licenses?
A: Yes, the Tabnine Public Code Algorithm learns exclusively from code with permissive licenses.
Q: Does the Tabnine Team Learning Algorithm share my code or data?
A: NEVER! Your code and data are always kept 100% private for you and your team.
Q: Can I run Tabnine locally, or do I need to use the Cloud?
A: You can run Tabnine locally or on the cloud, you choose! Regardless, your code is never shared.
Q: Does Tabnine work in multiple IDEs?
A: Yes, Tabnine works with all your favorite IDEs, and in the most popular languages, libraries, and frameworks. See the full list of IDEs and languages HERE.
Q: How many languages does Tabnine support?
A: Tabnine supports dozens of languages with more being added all the time. See the full list of IDEs and languages HERE.
Q: Can my team and I manually adjust code completion preferences and suggestion length?
A: Yes, Tabnine Pro provides advanced customization options for code completion preferences.
Q: Can Tabnine be trained on my team’s existing codebase?
A: Yes - Tabnine Team users have the option to train their private Tabnine Team Learning AI model on their existing codebase using Tabnine Connect. Tabnine Connect makes it easy and secure to give your Tabnine AI assistant access to your Github, GitLab, or Bitbucket repositories. You assign the repositories that you want it to learn from, and you control the permissions.
Visual Studio client for TabNine.
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Latest commit
Git stats
Files
Failed to load latest commit information.
README.md
TabNine For Visual Studio
This repository is a placeholder, the code repository will be made open source soon. For now, please submit issues under this repository.
Tabnine for visual studio has been released!
TabNine Overview:
This is the Visual Studio TabNine client, advanced AI based autocomplete for all programming languages. TabNine Indexes your entire project by reading your .gitignore or others, and determines which files to index.
- Enter long variable names using minimal keystrokes and leverage a mnemonic completion engine.
- Zero configuration. TabNine works out of the box.
- Highly responsive: Produces a list of suggestions in less than 10 milliseconds on average.
TabNine is part of Codota
Deep Completion:
Deep TabNine is trained on around 2 million files from GitHub. During training, TabNine’s goal is to predict the next token given the tokens that came before. To achieve this goal, TabNine learns complex behaviour, such as type inference in dynamically typed languages.
Deep TabNine can use subtle clues that are difficult for traditional tools to access. For example,
the return type of app.get_user() is assumed to be an object with setter methods, while the return type of app.get_users() is assumed to be a list.
Deep TabNine is based on GPT-2, which uses the Transformer network architecture. This architecture was first developed to solve problems in natural language processing. Although modelling code and modelling natural language might appear to be unrelated tasks, modelling code requires understanding English in some unexpected ways.
TabNine Deep Cloud:
TabNine requires consumption of memory resources when being run locally on your computer. It may incur some latency that is not optimal to all PC’s. With that in mind, TabNine has developed a Cloud solution, called TabNine Deep Cloud.
Frequently Asked Questions:
TabNine works for all programming languages. TabNine does not require any configuration in order to work. TabNine does not require any external software (though it can integrate with it). Since TabNine does not parse your code, it will never stop working because of a mismatched bracket.
Will TabNine leak my source code?
Note:
A note on licensing: this repo includes source code as well as packaged TabNine binaries. The MIT license only applies to the source code, not the binaries. The binaries are covered by the TabNine End User License Agreement.
Code Faster with AI Completions
Boost your productivity with the expert guidance of an AI code completion assistant trusted by millions of developers.
Whether you are a new dev or a seasoned pro, working solo or part of a team, Tabnine’s AI assistant will increase your development velocity with code completions in all the most popular coding languages and IDEs.
Customize Your Code Completion Experience
Personalized AI Model Trained On Your Code
Tabnine for Teams provides expert inline coding guidance with an AI assistant privately trained on your team’s coding standards. Learn more
GitHub, GitLab and Bitbucket Integration
Tabnine makes it easy and secure for team admins to grant their AI assistant access to their Github, GitLab and Bitbucket repositories. Simply assign the repositories you want your AI assistant to learn from. Learn more
Tabnine - Your AI Assistant
Whether you call it IntelliSense, intelliCode, autocomplete, AI-assisted code completion, AI-powered code completion, AI copilot, AI code snippets, code suggestion, code prediction, code hinting, or content assist, you probably already know that it can massively impact your coding velocity, cutting your coding time in half.
Powered by machine learning models and trained on more than a billion lines of open-source code with permissive licenses, Tabnine is the most trusted AI-powered code completion available today.
Easily configure Tabnine’s AI models to perform faster, stronger or balanced
All the Languages You Love
Easily Disable Code Completions on Files and Languages You Specify
Code Faster with AI Completions
Tabnine reduces the need for expensive and distracting code searches and automates repetitive tasks, freeing developers to focus on creative coding.
Automate Remote Knowledge Sharing
Share knowledge effortlessly across countries and time zones. Tabnine learns your code patterns, providing expert guidance to every member of your team any time of day.
Improve Code Quality & Consistency
Tabnine Improves code consistency across your entire project, suggesting completions that align with your best practices for code that’s easier to read, manage, and maintain.
Accelerate Developer Onboarding
Tabnine’s AI assistant helps speed new team members through the onboarding process with instant inline coding guidance minimizing the training burden placed on senior developers.
Reduce Code Review Iterations
Your Tabnine AI assistant will help you get the right code the first time. Tabnine provides code guidance that’s consistent with your team’s best practices, saving costly and frustrating code review iterations.
- Search for Tabnine in your Extensions Tab
- Click on the blue Install button
- Reload or restart your VSCode
Manual Installation inside VSCode
- Press Cmd+P (mac) or Ctrl+P (Windows) in your Visual Studio Code, type ext install Tabnine.tabnine-vscode and press Enter
- Click the Reload button in the extensions tab
- The default behavior of Tabnine uses the Enter key to accept completions. If you would rather use the Enter key to start a new line, go to Settings → Editor: Accept Suggestion On Enter and turn it off.
Got a question? We’ve got the answer - Check out our FAQ page
Head up to the top right hand corner of the Tabnine homepage and click on the ‘My Tabnine’ icon to instantly launch the app and easily update and manage all your Tabnine for Teams account options, team settings, and enable GitHub, GitLab, and Bitbucket integrations.
A quick click on Tabnine on your IDE status bar takes you directly to your Tabnine Hub where you can easily update and manage all your account options and customize your suggestion preferences.
After installation, navigate to the Tabnine Settings page (Open Settings from the Command Palette) and verify that Tabnine is successfully loaded (as shown in these screenshots).
Tabnine is a textual autocomplete extension. When you type a specific string in your editor, you will be shown the Tabnine completion dialog box with suggestions for completing the code you’ve begun typing.
Deep Tabnine is trained on millions of files from GitHub. During training, Tabnine’s goal is to predict the next token given the tokens that came before. To achieve this goal, Tabnine learns complex behavior, such as type inference in dynamically typed languages.
Deep Tabnine can use subtle clues that are difficult for traditional tools to access. For example, the return type of app.get_user() is assumed to be an object with setter methods, while the return type of app.get_users() is assumed to be a list.
Deep Tabnine is based on GPT-2, which uses the Transformers Network Architecture. This architecture was first developed to solve problems in natural language processing. Although modeling code and modeling natural language might appear to be unrelated tasks, modeling code requires understanding English in some unexpected ways.
- Tabnine Indexes your entire project and determines which files to ignore by reading your .gitignore
- Tabnine cuts your number of keystrokes in half and eliminates unnecessary typos
- Tabnine works right out of the box ensuring frictionless installation and configuration
- Tabnine offers code completion suggestions in less than 10 milliseconds
Frequently Asked Questions
Q: What is the difference between Tabnine Free and Tabnine Team?
A: Tabnine's Free version is a great option for junior developers working alone. The Free plan provides a reliable Basic AI code completion assistant trained on a limited block of open-source code with permissive licenses. Tabnine for Teams provides multi-model advanced AI code completions for teams of professional developers. The Tabnine Teams Private Model is trained exclusively on your team's code and the repositories you specify, maximizing the value of every development team member, improving team-wide code standardization, accelerating onboarding, and cutting code review costs. The Private AI Model significantly improves your code completion accuracy by incorporating your organization's coding standards and best practices. Tabnine for Teams users also have the option to grant their AI assistant secure read-only access to their GitHub, GitLab, and Bitbucket repositories. Every line of team-created code the AI assistant learns from amplifies the accuracy of its code completions, boosting productivity for the entire team.
Q: What are the benefits for developers upgrading to Tabnine for Teams?
A: Tabnine for Teams private AI code completion assistant is trained exclusively on your team's code and the repositories you specify. Your team's AI assistant maximizes the value of every development team member, improving team-wide code standardization, accelerating onboarding, and cutting code review costs.
Q: How do I enable GitHub integration??
A: Tabnine team admins can enable GitHub integration in the Tabnine App. Tabnine's GitHub integration makes it easy and secure to give your AI assistant access to your Github repositories. You assign the repositories you want your AI assistant to learn from, and you control the permissions.
Q: How do I enable GitLab integration??
A: Tabnine team admins can enable GitHub integration in the Tabnine App. Tabnine's GitHub integration makes it easy and secure to give your AI assistant access to your Github repositories. You assign the repositories you want your AI assistant to learn from, and you control the permissions.
Q: How do I enable GitLab integration??
A: Tabnine team admins can enable GitLab integration in the Tabnine App. Tabnine's GitLab integration makes it easy and secure to give your AI assistant access to your GitLab repositories. You assign the repositories you want your AI assistant to learn from, and you control the permissions.
Q: What type of online payments are accepted?
A: Tabnine accepts all major credit cards and debit cards, including Visa, Mastercard, American Express, and more. Tabnine also accepts Google Pay, Apple Pay, as well as additional payment options that may be available in your specific location (such as Alipay).
Q: Can I install Tabnine on multiple machines?
A: You can use your Tabnine license on as many computers and operating systems as you like. All Tabnine licenses are per-seat, rather than per-machine.
Q: Does the Tabnine Public Code Algorithm study code with permissive licenses?
A: Yes, the Tabnine Public Code Algorithm learns exclusively from code with permissive licenses.
Q: Does the Tabnine Team Learning Algorithm share my code or data?
A: NEVER! Your code and data are always kept 100% private for you and your team.
Q: Can I run Tabnine locally, or do I need to use the Cloud?
A: You can run Tabnine locally or on the cloud, you choose! Regardless, your code is never shared.
Q: Does Tabnine work in multiple IDEs?
A: Yes, Tabnine works with all your favorite IDEs, and in the most popular languages, libraries, and frameworks. See the full list of IDEs and languages HERE.
Q: How many languages does Tabnine support?
A: Tabnine supports dozens of languages with more being added all the time. See the full list of IDEs and languages HERE.
Q: Can my team and I manually adjust code completion preferences and suggestion length?
A: Yes, Tabnine Pro provides advanced customization options for code completion preferences.
Q: Can Tabnine be trained on my team’s existing codebase?
A: Yes - Tabnine Team users have the option to train their private Tabnine Team Learning AI model on their existing codebase using Tabnine Connect. Tabnine Connect makes it easy and secure to give your Tabnine AI assistant access to your Github, GitLab, or Bitbucket repositories. You assign the repositories that you want it to learn from, and you control the permissions.
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Open with Desktop
- View raw
- Copy raw contents Copy raw contents
Copy raw contents
Copy raw contents
TabNine For Visual Studio
This repository is a placeholder, the code repository will be made open source soon. For now, please submit issues under this repository.
Tabnine for visual studio has been released!
TabNine Overview:
This is the Visual Studio TabNine client, advanced AI based autocomplete for all programming languages. TabNine Indexes your entire project by reading your .gitignore or others, and determines which files to index.
- Enter long variable names using minimal keystrokes and leverage a mnemonic completion engine.
- Zero configuration. TabNine works out of the box.
- Highly responsive: Produces a list of suggestions in less than 10 milliseconds on average.
TabNine is part of Codota
Deep Completion:
Deep TabNine is trained on around 2 million files from GitHub. During training, TabNine’s goal is to predict the next token given the tokens that came before. To achieve this goal, TabNine learns complex behaviour, such as type inference in dynamically typed languages.
Deep TabNine can use subtle clues that are difficult for traditional tools to access. For example,
the return type of app.get_user() is assumed to be an object with setter methods, while the return type of app.get_users() is assumed to be a list.
Deep TabNine is based on GPT-2, which uses the Transformer network architecture. This architecture was first developed to solve problems in natural language processing. Although modelling code and modelling natural language might appear to be unrelated tasks, modelling code requires understanding English in some unexpected ways.
TabNine Deep Cloud:
TabNine requires consumption of memory resources when being run locally on your computer. It may incur some latency that is not optimal to all PC’s. With that in mind, TabNine has developed a Cloud solution, called TabNine Deep Cloud.
Frequently Asked Questions:
TabNine works for all programming languages. TabNine does not require any configuration in order to work. TabNine does not require any external software (though it can integrate with it). Since TabNine does not parse your code, it will never stop working because of a mismatched bracket.
Will TabNine leak my source code?
Note:
A note on licensing: this repo includes source code as well as packaged TabNine binaries. The MIT license only applies to the source code, not the binaries. The binaries are covered by the TabNine End User License Agreement.
Читайте также: