Cursor AI: Revolutionizing Coding with Advanced AI Integration

How Cursor AI Editor Made Coding Easier For Me

It also completely removed LangChain dependency and handled embeddings using Gemini's latest documentation. The popular AI code editor, Cursor, is surely meant for developers, but it's also helping a novice coder like me to get started with new programming languages. Yes, I have done my fair bit of web programming during college, but I was not familiar with Python at all. Now, as a writer, I occasionally play with some scripts or tinker with Python code at best. So with the release of Cursor, I was curious if it could help me with an old Python project. Last year, I wrote a Python tutorial on how to train an AI chatbot on a custom database using OpenAI's API and LangChain. I was wondering if Cursor could migrate my code to Gemini's API and remove the LangChain dependency completely. To my surprise, Cursor, powered by Claude 3.5 Sonnet, successfully removed LangChain and OpenAI dependencies. Of course, it resulted in multiple errors, but after three rounds of code fixing, it resolved all errors. I had to simply paste the errors and ask for assistance. And the Composer window quickly made relevant changes to the code. Finally, I ran the Python code, and it worked like a charm. The Gradio interface was up and running without any issues. It even correctly added the Gemini 1.5 Flash endpoint and removed some UTF errors. Not to mention, it referred to Gemini's latest documentation to find a way to create and store the embeddings. All in all, I am very impressed with Cursor, especially when it's powered by the Claude 3.5 Sonnet model. It's arguably the best AI model right now for coding, besides the OpenAI o1 model. Surely, the new ChatGPT Canvas feature can also improve your code with revisions and bug fixes, but Cursor offers an integrated environment with a compiler. So if you are a developer looking for a powerful AI code editor, I would strongly recommend using Cursor. As for beginners, Cursor can help you with code, but deployment is another skill to learn. For now, all I can say is that you must have a cursory knowledge of programming to start using Cursor.

What is Cursor AI, the ChatGPT Replacement for Coding

Cursor also lets you debug code using AI. Overall, Cursor beats VS Code in providing an integrated AI experience. Cursor AI has taken the programming world by storm. Developers are replacing Microsoft's VS Code with Cursor as their favorite new IDE. It's being called a true AI code editor and folks like Andrej Karpathy, the former senior director of AI at Tesla, have praised it. Cursor has received funding from Andreessen Horowitz, Jeff Dean, John Schulman, Noam Brown, and the founders of Stripe and GitHub. But how is it different from GitHub Copilot in VS Code and what new features does Cursor bring? Let us understand it. First things first, Cursor is a fork of VS Code so it has a familiar interface and you can import all your extensions, themes, and keybindings in one click. It also offers its own 'cursor-small' AI model which is not a premium model but can be helpful for quick editing tasks. Apart from its small model, Cursor supports several premium models from OpenAI, Google, and Anthropic. You can use premium models like OpenAI o1, Claude 3.5 Sonnet, GPT-4o, GPT-4, Claude 3 Opus, and more. It also lets you add your API key which is great. Initially, Cursor is offering two weeks of free Pro trial that uses Claude 3.5 Sonnet for code completion and other tasks. The best part about Cursor is that it learns from your codebase and creates embeddings on your device to predict your next edit accurately. Just keep hitting 'Tab' to accept autocomplete suggestions. It surely boosts productivity by many folds. By the way, if you are worried about your data, you can choose private mode during the setup to opt out of training. It also lets you set rules for the AI editor. You can define file for each repo and Cursor will follow those instructions. For example, if you are writing an iOS app, you can define your rules and preferences for the Swift language. You can even define different AI rules for specific files. Now, comes the most vital feature of Cursor -- Composer. It can be triggered with the shortcut: Ctrl + K. In the Composer box, you can enter instructions in natural language and it generates code right there. Either select a code snippet or simply choose the current file, and ask for improvements or refactor the code. Press 'Ctrl + Enter' and quickly accept the suggestions. The best part about Composer is that you can use '@' in the Composer box to tag files, folders, web links, codebase, Git, etc., and add detailed instructions on what you want to achieve. You can even tag official docs from OpenAI, Microsoft, AWS, etc. It truly unlocks the potential of AI coding assistance. Apart from that, you can press Ctrl + L to open the chat window where you can ask questions, chat with your local codebase, and get code suggestions. Moreover, you can select a chunk of code and press the shortcuts to bring up the Composer or Chat window. You can now review the changes and add coding suggestions in no time. Finally, you can also debug the code using AI. It's well integrated within the environment and quickly tells you what changes to make in a Chat window. Overall, Cursor is a fantastic AI code editor, and with the Claude 3.5 Sonnet model, it really ups the game for coders.