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AI Code Completions

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vscode

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Visual Studio Code

Quick Overview

TabNine is an AI-powered code completion tool that uses deep learning to predict and suggest code snippets. It supports multiple programming languages and integrates with various code editors and IDEs. TabNine aims to improve developer productivity by providing context-aware code suggestions.

Pros

  • Supports a wide range of programming languages and frameworks
  • Integrates seamlessly with popular code editors and IDEs
  • Offers both local and cloud-based completion options
  • Learns from your coding style and project-specific patterns

Cons

  • May require a subscription for advanced features
  • Can be resource-intensive, especially when running locally
  • Privacy concerns for users who opt for cloud-based completions
  • Suggestions may not always be accurate or relevant

Getting Started

To get started with TabNine:

  1. Visit the TabNine website
  2. Download the appropriate version for your IDE or code editor
  3. Install the TabNine extension or plugin
  4. Restart your IDE or editor
  5. Start coding, and TabNine will automatically provide suggestions

Note: TabNine offers both free and paid versions. The free version provides basic code completion, while the paid version offers more advanced features and improved accuracy.

Competitor Comparisons

microsoft logo

vscode

162,288

Visual Studio Code

Pros of VS Code

  • Extensive ecosystem with a wide range of extensions and themes
  • Open-source with a large community of contributors
  • Integrated terminal and debugging capabilities

Cons of VS Code

  • Heavier resource usage, especially for large projects
  • Steeper learning curve for advanced features and customization

Code Comparison

VS Code (settings.json):

{
  "editor.fontSize": 14,
  "editor.tabSize": 2,
  "editor.wordWrap": "on"
}

TabNine (config.yml):

language: python
max_num_results: 5

Summary

VS Code is a full-featured IDE with a vast ecosystem, while TabNine focuses on AI-powered code completion. VS Code offers more comprehensive development tools, but TabNine excels in providing intelligent code suggestions. VS Code's open-source nature allows for extensive customization, whereas TabNine's strength lies in its advanced machine learning capabilities for code prediction. While VS Code may have a steeper learning curve, it provides a more complete development environment. TabNine, on the other hand, offers a simpler setup focused on enhancing coding efficiency through AI-driven suggestions.

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README

TabNine

This is the repository for the backend of TabNine, the all-language autocompleter. There are no source files here because the backend is closed source.

You can make feature requests by filing an issue. You are also welcome to make pull requests for changes to the configuration files.

languages.yml determines which file extensions are considered part of the same language. (For example, identifiers from .c files will be suggested in .h files.)

language_tokenization.json determines how languages are tokenized. For example, identifiers can contain dashes in Lisp, but not in Java.

If your feature request is specific to a particular editor's TabNine client, please file an issue in one of these repositories:

You may be interested in these TabNine clients written by third parties:

NOTE: Codota is not validating any code in those plugins and is not responsible for them by any means.

Supported Architectures

  • x86_64-unknown-linux-musl
  • x86_64-apple-darwin
  • aarch64-apple-darwin
  • i686-pc-windows-gnu
  • x86_64-pc-windows-gnu