If you want a self-hosted coding assistant with enterprise features and user management, CodeComplete is another strong contender. It's got a broad range of coding tools, including code generation, code chat, automated unit test generation and customization through retrieval augmented generation (RAG) technology. With permissively-licensed repositories, it's designed to protect code and data, and it's got built-in analytics and logging that can be written directly to the user's database. It also has fine-tuning, admin control and multi-channel support for more advanced enterprise-level user management and governance.
Another strong contender is Tabnine, which speeds up and simplifies software development while keeping code private and secure. It can generate AI code, automate repetitive tasks and provide AI chat support for the entire software development life cycle. Tabnine can be installed on-premises, in a VPC or behind a secure SaaS interface, supports many programming languages and IDEs, and is highly customizable, with the ability to create custom models trained on your own codebase. That makes it a good fit for both solo developers and enterprise developers with large teams.
Sourcegraph is another powerful platform that includes an AI-powered coding assistant, Cody, along with other tools like Code Search, Batch Changes and Code Insights. It supports multiple programming languages and integrates with popular IDEs for fast and accurate code search, automated large-scale code changes and visualizations to provide insights into the codebase. Sourcegraph can be installed in the cloud or self-hosted, and it's got security and governance in mind with a range of plans to accommodate different development team needs.
If security and corporate IP protection are a priority, you might want to look at ClearGPT. The platform uses generative AI and Large Language Models to automate, boost productivity and create new products, but it's designed to have zero data leakage and maximum control with role-based access and data governance. ClearGPT can be easily integrated with existing applications and allows data-science teams to use the latest models without vendor lock-ins, making it a good fit for companies looking to innovate across business units.