If you want a coding assistant that uses Rust for speed and safety, and that's easy to configure and has a community, Tabby is a great option. This open-source, self-hosted AI coding assistant lets teams easily set up their own LLM-powered code completion servers with flexibility and security through simple TOML configurations and hosting on GitHub. Built with Rust for high speed and safety, Tabby includes features like IDE extensions, model serving with Tree Sitter tags, and optimized user and developer experience. It supports CUDA and CPU configurations and can be extended with repository additions from Git, GitHub, and more.
Another option worth considering is CodeAI, a VS Code extension that uses AI to help developers write code, generate unit tests and create documentation. It supports many programming languages, including Rust, and can provide code completion, test generation and documentation generation. CodeAI encrypts data with end-to-end encryption and offers several pricing options, including a free "Newbie" plan and a "Pro" plan with more features.
Code Snippets AI is another option that supports a broad range of programming languages, including Rust. The tool uses multiple AI models to generate code, create documentation, refactor code and debug. It offers a free desktop app and Pro and Teams plans with features like Azure AI models and unlimited tokens. The system is designed to make coding faster, more accurate and collaborative, with a roadmap that includes support for IntelliJ and JetBrains IDEs.
For a full-featured AI-powered coding assistant that integrates with popular IDEs, check out Codeium. It supports more than 70 programming languages and offers advanced code completion, search and chat features. Codeium is designed for both individual developers and teams, with pricing tiers from free for individual developers to custom plans for enterprises. It has a strong focus on data security and privacy, with features like encrypted data transmission and SOC2 Type 2 compliance.