Enterprise-grade AI completions trained on your codebase without sending your code to the cloud
Each app below addresses a specific gap in Tabnine's offering. We picked them based on real user review patterns and feature differentiation.
GitHub Copilot offers inline completions, chat, and pull request summaries powered by OpenAI models. Deep GitHub integration.
Explore GitHub Copilot data →Codeium provides fast AI completions and chat with a generous free tier. Supports 70+ languages and 40+ editors.
Explore Codeium data →CodeWhisperer is free for individual developers and includes security scanning. Best value if your stack runs on AWS.
Explore Amazon CodeWhisperer data →Continue is an open-source IDE extension that connects to any LLM — local or cloud. Full control over which model powers your completions.
Explore Continue data →Cody uses Sourcegraph's code search to give the AI full context about your entire repository, not just the open file.
Explore Sourcegraph Cody data →Cursor is a VS Code fork with deep AI integration — edit entire files, refactor across the codebase, and chat with your code in one app.
Explore Cursor data →Trusted by enterprises that cannot use cloud-based AI coding tools due to data privacy requirements
Tabnine offers a self-hosted option and a local model mode that keeps all code on your machine. The cloud plan sends snippets to Tabnine servers but does not use your code to train shared models.
Tabnine supports VS Code, all JetBrains IDEs, Neovim, Eclipse, Sublime Text, Emacs, and more than 15 editors in total.
Tabnine has a free basic tier. Pro features including longer completions and custom model training require a paid plan.
App Vulture tracks ratings, review sentiment, and update frequency for AI coding tools including Tabnine, Copilot, and Codeium. Check the live data to see which tools enterprise teams prefer in 2026.
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