Coding Using AI-Powered Text Editor (Cursor)
TLDRIn this video, the host explores Cursor AI, an AI-powered text editor built on top of VS Code. They discuss its capabilities, such as understanding codebases, offering suggestions, and fixing bugs, comparing it to other AI tools like GitHub Copilot. Despite initial excitement, the host finds Cursor AI lacking in practical functionality, especially in indexing and understanding complex code. They test its ability to generate test files and provide coding assistance, but encounter issues with accuracy and execution. The host concludes with a mixed review, giving it a score of 7 out of 10 for its potential but noting its current limitations.
Takeaways
- 🧠 The video discusses trying out 'Cursor AI', an AI-powered text editor that integrates with VS Code and is designed to understand codebases and answer questions about them.
- 💡 Cursor AI has features like chat with your project, bug finding, auto-debugging, and the ability to use your own API key for secure coding.
- 💸 The company behind Cursor AI has reportedly raised 8 million from the OpenAI fund and is funded by various companies, indicating significant investment in the project.
- 🔍 The AI editor is capable of providing suggestions and fixes for code, but the effectiveness of these suggestions was not consistently reliable in the demonstration.
- 🛠️ The video shows the process of using Cursor AI to fix bugs, generate test files, and understand the functionality of the provided code for an ebook application.
- 🔑 The video mentions the importance of local mode for security, ensuring no code or data is stored externally.
- 📝 Cursor AI can generate documentation and test files, but the presenter expresses concerns about the complexity and the need to mock external service responses for effective testing.
- 🤔 The presenter initially gives Cursor AI a rating of 3 out of 10, but later revises it to 7 out of 10, noting its potential despite some issues.
- 💡 The video also explores the idea of profitability for Cursor AI, suggesting that as a startup, they may be operating at a loss while building their user base.
- 🔄 The presenter experiences some confusion with the AI's suggestions, highlighting the importance of carefully reviewing AI-generated code before implementation.
- 🔧 The video concludes with a demonstration of fixing a threading issue in the code, showing that while Cursor AI can provide guidance, it may not always be accurate.
Q & A
What is Cursor AI and how does it differ from other AI tools like Chad BT and GitHub Copilot?
-Cursor AI is a text editor with built-in AI that is designed to understand your entire codebase and answer questions about it. Unlike Chad BT, which allows you to ask questions, and GitHub Copilot, which provides suggestions, Cursor AI is integrated into the text editor and can perform tasks such as pair programming, bug finding, and fixing.
How is Cursor AI funded and what companies are involved in its funding?
-Cursor AI has raised 8 million dollars from the OpenAI fund and is also funded by various companies, although the specific companies are not mentioned in the transcript.
What features does Cursor AI offer for code development?
-Cursor AI offers features such as chat with your project, pair programming chat, edit, generate AI linter, auto-debugging, and dog support. It also allows the use of your own API key and has a secure local mode to ensure no code or data is stored externally.
How does Cursor AI handle the security and privacy of the user's code?
-Cursor AI has a secure mode that allows users to enable local mode, ensuring that no code or data is stored or sent outside the user's environment.
What is the process of using Cursor AI to find and fix bugs in the code?
-To find and fix bugs, you can ask Cursor AI where the bugs are in the code. It will then provide suggestions or write the corrected code for you to implement.
What is the user's initial impression of Cursor AI after trying it out?
-The user initially found Cursor AI to be promising but was disappointed with its performance during the demo, giving it a rating of three out of ten.
How does Cursor AI compare to other AI tools like Chad GBT and GitHub Copilot in terms of usefulness?
-The user found Chad GBT and GitHub Copilot to be more useful than Cursor AI, as Cursor AI had some limitations and did not meet the user's expectations.
What is the user's opinion on the profitability and business model of Cursor AI?
-The user questioned how Cursor AI would make a profit, speculating that as a startup, they might be operating at a loss initially, funded by investors, and planning to charge users once they have a substantial user base.
What issues did the user encounter while using Cursor AI to test and fix bugs in their code?
-The user faced issues where Cursor AI was not able to correctly identify and fix bugs, and at one point, it suggested an incorrect fix that the user had to correct.
How does Cursor AI assist in writing test files for the user's code?
-Cursor AI can write test files for the user's code, but the user noted that they might not use the tests provided by Cursor AI due to the complexity and the need to mock responses from external services.
What is the user's final rating for Cursor AI after considering its features and limitations?
-After considering its features and limitations, the user gave Cursor AI a final rating of seven out of ten, acknowledging that it does what GitHub Copilot does for free and has some useful features.
Outlines
🤖 Introduction to Cursor AI Text Editor
The video script introduces Cursor AI, a text editor integrated with AI capabilities, which is positioned as an advancement over other AI tools like Chad BT and GitHub Co-pilot. Cursor AI is designed to understand an entire codebase and answer questions related to it, offering features like pair programming with an AI that knows everything about the code. The script mentions that Cursor AI is a fork of Visual Studio Code (VS Code) with added AI functionalities and has received significant funding from the OpenAI fund and other companies. The host expresses excitement about testing Cursor AI's capabilities, such as chatting with the project, bug fixing, and using it as a linter and debugger.
📚 Cursor AI's Performance and Evaluation
The script continues with the host's experience using Cursor AI, including its ability to generate tests for functions, understand code dependencies, and suggest fixes for bugs. The host discusses the complexities of testing external API calls and the need for mocking responses. Initially, the host rates Cursor AI at a three out of ten, citing limitations and unmet expectations. However, as the host explores more features, such as local mode for security and the ability to generate unique IDs, the rating improves to a seven out of ten. The host notes that while Cursor AI uses Chad GBT, it doesn't require switching tabs, which is a positive aspect. The script concludes with a humorous moment where the host is misled by Cursor AI's suggestion to fix a line of code, leading to a realization of a mistake and a re-evaluation of the tool's effectiveness.
Mindmap
Keywords
💡Cursor AI
💡AI Tools
💡Codebase
💡Pair Programming
💡Bug Fixing
💡Open AI Fund
💡Linter
💡API Key
💡Local Mode
💡Ebook Generation
💡Shopify API
💡GPT-3 and GPT-4
Highlights
Introduction to Cursor AI, an AI-powered text editor that integrates with the codebase.
Comparison with other AI tools like Chad BT and GitHub Copilot.
Cursor AI's ability to answer questions about the entire codebase.
Funding details, with $8 million raised from OpenAI and other companies.
Cursor AI's chat feature for project interaction and code understanding.
Spotting and fixing bugs within the code.
Reflection on the idea's originality and the learning process.
Using command line with Code or Cursor.
Cursor's security features, including local mode to prevent data storage.
Cursor's auto-debugging and AI linter capabilities.
Initial testing of Cursor AI's bug-finding feature.
Cursor's indexing process and its impact on functionality.
Understanding of the provided code for an AI-generated ebook application.
Request for a test file for all main functions and the response.
Cursor's limitations in testing external API responses.
Initial rating of Cursor AI and comparison with other AI tools.
Discussion on Cursor AI's business model and funding.
Cursor AI's suggestion for fixing a specific line of code.
Realization of a mistake in following Cursor AI's suggestion.
Revised rating of Cursor AI after further testing.
Final thoughts on Cursor AI's performance and potential.