tabnine-vscode

Visual Studio Code client for Tabnine. https://marketplace.visualstudio.com/items?itemName=TabNine.tabnine-vscode

1,365

178

1,365

View on GitHub

Top Related Projects

cody

2,519

Type less, code more: Cody is an AI code assistant that uses advanced search and codebase context to help you write and fix code.

Quick Overview

TabNine for Visual Studio Code is an AI-powered code completion tool that uses machine learning to provide intelligent code suggestions. It aims to boost developer productivity by predicting and offering relevant code completions based on the context of what you're writing.

Pros

Offers highly accurate and context-aware code completions
Supports multiple programming languages and frameworks
Learns from your coding style and project-specific patterns
Integrates seamlessly with Visual Studio Code

Cons

May have a slight impact on editor performance, especially on older machines
Requires an internet connection for optimal functionality
Some users may have privacy concerns due to code being sent to TabNine servers
Free version has limitations compared to the paid plans

Getting Started

Open Visual Studio Code
Go to the Extensions view (Ctrl+Shift+X)
Search for "TabNine"
Click "Install" on the TabNine extension
Once installed, restart VS Code
Start coding, and TabNine will automatically provide suggestions

TabNine will now offer AI-powered code completions as you type. You can customize its behavior in the extension settings if needed.

Competitor Comparisons

copilot-docs

23,230

Documentation for GitHub Copilot

Pros of Copilot-docs

More comprehensive AI-powered code completion, offering full-line and multi-line suggestions
Seamless integration with GitHub's ecosystem and services
Trained on a vast array of public code repositories, potentially offering more diverse suggestions

Cons of Copilot-docs

Requires a paid subscription after the trial period
May raise privacy concerns due to its cloud-based nature and data usage
Limited customization options compared to TabNine

Code Comparison

TabNine (local model):

def calculate_average(numbers):
    total = sum(numbers)
    return total / len(numbers)

Copilot:

def calculate_average(numbers):
    if not numbers:
        return 0
    return sum(numbers) / len(numbers)

In this example, Copilot's suggestion includes a check for empty input, demonstrating its ability to anticipate potential edge cases.

Additional Notes

TabNine offers both cloud-based and local AI models, providing more flexibility for users concerned about data privacy. It also supports a wider range of IDEs and text editors.

Copilot, being developed by GitHub (owned by Microsoft), may have better long-term support and integration with popular development tools and platforms.

Both tools aim to increase developer productivity through AI-assisted coding, but their approaches and strengths differ, catering to different user preferences and needs.

cody

2,519

Type less, code more: Cody is an AI code assistant that uses advanced search and codebase context to help you write and fix code.

Pros of Cody

Integrates with Sourcegraph's powerful code intelligence platform
Offers advanced code navigation and search capabilities
Provides more comprehensive code understanding across multiple repositories

Cons of Cody

May have a steeper learning curve due to its broader feature set
Could be more resource-intensive, potentially impacting performance on lower-end machines
Might be overkill for developers working on smaller, single-repository projects

Code Comparison

TabNine (JavaScript):

function calculateTotal(items) {
  return items.reduce((total, item) => total + item.price, 0);
}

Cody (JavaScript):

function calculateTotal(items) {
  let total = 0;
  for (const item of items) {
    total += item.price;
  }
  return total;
}

Both examples achieve the same result, but Cody's suggestion might be more readable for beginners or in codebases that prefer explicit loops over functional programming constructs.

Convert designs to code with AI

Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.

Try Visual Copilot

README

Tabnine: The AI code assistant that you control

Tabnine is the AI code assistant that you control â helping development teams of every size use AI to accelerate and simplify the software development process without sacrificing privacy, security, or compliance. Tabnine boosts engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to your team. Tabnine is trusted by more than 1,000,000 developers across thousands of organizations. Learn how to install and activate Tabnine and get started.

Boost developer productivity with AI-powered chat and code completions

Tabnine offers best-in-class AI code completion and an AI-powered chat that increases productivity and accelerates the entire software development lifecycle.

Hereâs what you can do with Tabnine:

Plan: Ask Tabnine general coding questions or learn how things work in your specific project and get solutions and references relevant to your workspace.

plan

Create: Generate new code using natural language. As you continue coding, Tabnine provides inline code completions, offering real-time, context-aware suggestions that seamlessly blend with your coding style.

create

Test: Ask Tabnine to create tests for a specific function or code in your project, and get back the actual test cases, implementation, and assertion. Tabnine can also use existing tests in your project and suggest tests that align with your projectâs testing framework.

test

Fix: When tests fail, you can select code with an error and ask Tabnine for recommendations on how to fix it.

fix

Document: Generate documentation for specific sections of your code to enhance readability and make it easy for other team members to understand.

document

Explain: Tabnine Chat can provide you with an explanation for a block of existing code, which is especially useful when reading a new codebase or reading legacy code in languages you donât know as well.

explain

Maintain: In addition to writing new code, Tabnine can help you change the existing code by adding functionality, refactoring, or fixing specific code.

maintain

Tabnine supports most popular languages, frameworks, and IDEs.

Supported languages, frameworks, and libraries: JavaScript, TypeScript, Python, Java, C, C++, C#, Go, Php, Ruby, Kotlin, Dart, Rust, React/Vue, HTML 5, CSS, Lua, Perl, YAML, Cuda, SQL, Scala, Shell (bash), Swift, R, Julia, VB, Groovy, Matlab, Terraform, ABAP.
Learn more

Supported IDEs: VS Code, JetBrains IDEs (IntelliJ, PyCharm, WebStorm, PhpStorm, Android Studio, GoLand, CLion, Rider, DataGrip, RustRover, RubyMine, DataSpell, Aqua, AppCode), Eclipse, Visual Studio 2022.
Learn more

The AI code assistant that you control

Unlike generic code assistants, Tabnine is:

Private: You choose where and how to deploy Tabnine, either as a secure SaaS offering or self-hosted on-premises or in a VPC). We never store your data or share it with any third party. Additionally, we donât use your data to train our models. This ensures complete privacy and maximizes control over your intellectual property.
Personalized: Tabnine delivers an optimized experience for each developer and engineering team. You can increase Tabnine's contextual awareness by making it aware of your environment â from a developerâs local IDE to the entire codebase â and receive highly personalized results for code completions, explanations, and documentation. Tabnine enterprise customers can further enrich the capability and quality of the output by creating a bespoke model thatâs trained on their codebase.
Protected: Tabnine is built with enterprise-grade security and compliance at its core. Itâs trained exclusively on open source code with permissive licenses, ensuring that youâre never exposed to legal liability.

Key resources:

Latest product updates

Introducing real time switchable AI models for Tabnine Chat. Choose from a wide range of models: two custom-built, fully private models from Tabnine, plus popular LLMs from third parties such as Command R from Cohere, Claude 3.5 Sonnet from Anthropic, Codestral from Mistral, GPT-4o, GPT-4.0 Turbo, and GPT-3.5 Turbo from OpenAI. Learn more

switchable-models