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What is Tabby?

Tabby serves as a self-hosted, open-source AI coding assistant designed to enhance your development process through features like intelligent code completion, real-time suggestions, and seamless integration with your chosen integrated development environment (IDE). By deploying Tabby on your own servers, you gain the benefits of enhanced security and greater control over your codebase. It is designed to work with popular large language models (LLMs) such as CodeLlama, StarCoder, and CodeGen, which enables it to tailor its assistance to fit your individual coding style while providing accurate and context-aware support. No matter if you’re working independently or as part of a team, Tabby efficiently simplifies your coding tasks, reduces the likelihood of errors, and accelerates project delivery times. Its intuitive interface and customizable features distinguish Tabby as a vital resource for developers seeking to elevate their coding productivity. Overall, Tabby not only enhances coding efficiency but also fosters a more enjoyable and streamlined development experience.

What is Amazon Q Developer?

Amazon Q Developer is AWS’s most capable generative AI assistant for software development, engineered to enhance productivity across every phase of the build cycle. Available as a plugin for JetBrains, VS Code, Visual Studio, Eclipse, and the command line, it brings real-time code generation, debugging, and documentation directly into the developer’s workspace. Unlike simple autocomplete tools, its agentic capabilities allow it to autonomously complete complex tasks—implementing new features, performing code reviews, running tests, and upgrading legacy applications with minimal human input. It’s deeply integrated with the AWS ecosystem, offering expertise in cloud optimization, cost management, and operational diagnostics. Teams can engage Amazon Q in Slack, Microsoft Teams, GitHub, and GitLab for seamless collaboration, architecture guidance, and incident troubleshooting. The platform also supports data-driven development, helping users build analytics pipelines and machine learning workflows using natural language prompts. Its privacy-first design ensures that proprietary content is never used to train models, while AWS IAM-based access controls maintain enterprise security standards. Internal studies report up to 80% faster development speeds and a 37% acceptance rate for multi-line code suggestions—among the best in the industry. Whether upgrading Java apps, managing DevOps pipelines, or designing AI projects, Amazon Q Developer accelerates innovation while reducing friction. With flexible deployment and perpetual free access for limited use, it’s redefining the developer experience for the AI era.

Media

Media

Integrations Supported

GitHub
Visual Studio Code
Code Llama
StarCoder

Integrations Supported

GitHub
Visual Studio Code
AWS Systems Manager
Amazon Q
Amazon Q Business
Amazon Web Services (AWS)
Code With Me
DataGrip
Eclipse IDE
GoLand
JetBrains Aqua
JetBrains DataSpell
JetBrains Gateway
PhpStorm
PyCharm
Visual Studio
WebStorm
Writerside

API Availability

API Availability

Pricing Information

Free
Open source
Free Version

Pricing Information

$19/month
Free Version

Supported Platforms

Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Tabby ML

Company Website

www.tabbyml.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/q/developer/

Categories and Features

AI Code Refactoring

Not specified

AI Coding Assistants

Not specified

Categories and Features

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