Top 10 Cursor AI Alternatives (Better Than Github Copilot, Open Source)

Explore the top 10 Cursor AI alternatives, including open-source options, to find the best tools for your AI-powered coding and editing needs. Compare features, usability, and integrations to choose the right solution for your projects.

Ashley Innocent

Ashley Innocent

7 May 2025

Top 10 Cursor AI Alternatives (Better Than Github Copilot, Open Source)

Are you a fan of the Cursor Code editor but curious about other tools that might better suit your needs? Whether you’re an experienced developer or just dipping your toes into the world of AI-powered code editors, it’s always good to explore alternatives. This blog post will walk you through the top 9 Cursor AI alternatives, including some excellent open-source options. Each one brings something unique to the table, so you’re bound to find one that clicks with your workflow.

1. TabNine — The AI-Powered Autocompletion Prodigy

TabNine is one of the most popular AI-powered code autocompletion tools out there. It integrates seamlessly with many code editors, including VSCode, Atom, Sublime Text, and more. TabNine uses machine learning models trained on a wide variety of codebases, meaning it can predict and suggest entire lines or blocks of code with impressive accuracy.

Why Consider TabNine?

Where It Falls Short:TabNine’s free version, while powerful, doesn’t offer the full suite of features available in the paid version, which might be a limitation for some users.

2. Kite — The AI Assistant with a Strong Focus on Python

Kite is another AI-powered coding assistant that’s especially popular among Python developers. It offers intelligent code completions, documentation as you code, and even snippets.

Why Consider Kite?

Where It Falls Short:Kite has been criticized for its limited support of languages compared to TabNine, making it less versatile for developers who work across multiple languages.

3. GitHub Copilot — The AI Pair Programmer from the Future

GitHub Copilot has made waves in the developer community for its ability to generate entire functions, write boilerplate code, and even help with debugging. Built on OpenAI’s Codex model, it understands natural language prompts, making it a powerful tool for both beginners and seasoned developers.

Why Consider GitHub Copilot?

Where It Falls Short:Copilot’s reliance on public code can sometimes lead to licensing concerns. Also, it requires a GitHub subscription after the trial period.

4. Codeium — The Open-Source Challenger

If you’re looking for a powerful, free, and open-source alternative, Codeium could be just what you need. Codeium provides AI-powered code suggestions, autocompletions, and even supports multiple languages.

Why Consider Codeium?

Where It Falls Short:Being open-source, Codeium might not have the polished user experience that some proprietary tools offer.

5. OpenAI Codex — The Brain Behind GitHub Copilot

While GitHub Copilot is built on OpenAI’s Codex, Codex itself can be used independently for more advanced AI-powered coding. Codex understands and generates code in multiple programming languages, providing suggestions based on natural language inputs.

Why Consider OpenAI Codex?

Where It Falls Short:Codex can be complex to set up and use, making it less accessible for beginners.

6. Intellicode — Microsoft’s AI-Powered Code Assistance

Microsoft’s Intellicode is a powerful AI code assistant integrated into Visual Studio and Visual Studio Code. It provides contextual recommendations, making coding faster and less error-prone.

Why Consider Intellicode?

Where It Falls Short:Intellicode’s tight integration with Microsoft tools might make it less appealing to developers using other IDEs.

7. CodeT5 — The Transformer-Based AI Assistant

CodeT5 is a transformer-based model trained specifically for code-related tasks. It offers a range of features, including code completion, summarization, and even bug detection.

Why Consider CodeT5?

Where It Falls Short:CodeT5’s setup and configuration can be a bit complex, which might deter less experienced developers.

8. Visual Studio IntelliSense — The Classic Code Autocompletion Tool

IntelliSense is Microsoft’s built-in code autocompletion tool, integrated into Visual Studio and Visual Studio Code. While it’s not as advanced as some AI-powered tools, IntelliSense remains a reliable choice for many developers.

Why Consider IntelliSense?

Where It Falls Short:IntelliSense doesn’t offer the same level of intelligence as newer AI-powered tools, which might make it less appealing for those looking for more advanced features.

9. Eclipse Che — The Open-Source Cloud IDE

Eclipse Che is more than just a code editor; it’s a cloud-based development environment that supports collaborative coding. It offers a range of plugins and extensions, making it highly customizable.

Why Consider Eclipse Che?

Where It Falls Short:The cloud-based nature of Eclipse Che might be a drawback for developers who prefer local development environments.

Enhance Your Workflow with Apidog

Now that we’ve explored the top 9 Cursor AI alternatives, let’s talk about a tool that can take your development experience to the next level: Apidog. If you’re involved in API development or testing, Apidog is the perfect companion to these AI-powered code editors.

Why Apidog?

Whether you’re using a versatile tool like TabNine or an open-source option like Eclipse Che, Apidog seamlessly integrates into your workflow, enhancing productivity and ensuring your APIs are top-notch.

Choosing the Right Tool for You

Each of these Cursor AI alternatives has its own strengths and weaknesses. The best choice depends on your specific needs, coding style, and the programming languages you work with. If you’re looking for a tool that integrates seamlessly with your existing workflow, consider tools like GitHub Copilot or Microsoft’s Intellicode. If open-source is a priority, Codeium and CodeT5 are excellent choices.

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