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Tabby

The AI Engineer presents Tabby

Overview

Tabby is an open-source, self-hosted AI coding assistant. Customize your LLM-powered autocompletion with on-prem control. Supports Rust, Python, JS, TS, Go, Ruby, Java, C++ & more.

Description

Tabby 🐱 is an open-source, self-hosted alternative to GitHub Copilot, offering developers more control and customizability.

💡 Tabby Key Highlights

✅ Self-contained server with no DB or cloud dependency ✅ OpenAPI interface - integrate with your infrastructure ✅ Supports consumer GPUs and runs locally ✅ Compatible with major coding models like CodeLlama, StarCoder

It means you can bring the power of large language model autocompletion behind your firewall—Fine-tune Tabby's model ⚙️ on your codebase for even more relevant suggestions.

It currently supports Rust, Python, JavaScript, TypeScript, Go, Ruby, Java, C++, and more. Easy to deploy in minutes with Docker. Modular design makes Tabby extensible.

Auditability and control over your data are built-in. Take back ownership of the developer experience while enabling your team to be more productive with AI assistance.

🤔 Why should The AI Engineer care about Tabby?

👉 Customizable: 🐱 As an open-source project, Tabby allows complete control and customizability over the AI coding assistant. Fine-tune it to your specific needs.

🔐 Secure: With self-hosted deployment, Tabby enables bringing machine learning behind your firewall—no more worries about data privacy issues.

⚡️Performant: Tabby utilizes state-of-the-art optimizations like streaming inferences to provide super fast autocompletions under 1 second.

🛠️ Modular: Built using a modular Rust codebase with a clear separation of concerns. Easily extend Tabby by developing your modules.

💪 Robust: Hardened for production use with Docker images, Kubernetes support, Grafana dashboards, and meticulous testing. Dependably serve thousands of developers.

📊 Tell me more about Tabby!

🖇️ Where can I find out more about Tabby?


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