If you're looking for a solution that offers a curated list of models for code completion and detailed API documentation, Codeium is a great option. This AI-powered coding assistant supports more than 70 programming languages and integrates with popular IDEs. It offers advanced code completion, AI-powered search, and an AI chat assistant that can generate documentation, refactor code, and suggest bug fixes. Codeium also prioritizes data security and privacy with options like encrypted data transmission and SOC2 Type 2 compliance.
Another top contender is Refact, an open-source AI coding assistant that supports several Large Language Models (LLMs) including GPT-4. It uses a fill-in-the-middle approach to provide context-aware code completion and includes built-in chat for code questions. Refact is designed for privacy with self-hosted options and customizable privacy settings, so it's a good option for developers who want a flexible and private solution. The tool also offers a range of pricing plans, from free for personal use to custom enterprise solutions.
For a self-hosted and customizable solution, Tabby is also worth a look. This open-source AI coding assistant lets teams quickly set up their own LLM-powered code completion servers with simple TOML configurations and GitHub hosting. Tabby is built with Rust for high speed and safety, and features IDE and editor extensions, a models directory, API references, and community support. It can be deployed in a variety of ways and is actively maintained with regular updates.
Last, CodeComplete offers a self-hosted option geared for enterprise customers, with a suite of coding tools including code generation, chat, automated unit tests, and documentation. It protects code and data with self-hosted or on-premise options and offers powerful analytics. CodeComplete is a good option for companies that need more advanced features, self-hosted deployment, and multi-channel support.