話題のツール！CursorとGitHubCopilotの使い勝手を解説してみた

にゃんたのAI実践チャンネル

13 Dec 202312:11

Summary

TLDRThe video script discusses the functionalities and benefits of two AI-powered programming assistance tools, GitHub Copilot and Cursor. Both tools are praised for their convenience and utility in enhancing programming efficiency, with GitHub Copilot being an extension that integrates into editors like VS Code, while Cursor is a standalone editor that offers a similar experience. The speaker shares personal experiences with both tools, noting that they have transitioned to relying heavily on AI for programming support. The video also covers the recent update where GitHub Copilot has adopted GPT4, aligning it more closely with Cursor in terms of capabilities. The comparison touches on pricing, features, and the unique aspects of each tool, such as Cursor's powerful external reference functionality and GitHub Copilot's inline completion feature. The speaker concludes by expressing a slight preference for Cursor due to its flexibility and rapid development pace, but encourages viewers to explore both tools for their programming needs.

Takeaways

🛠️ GitHub Copilot and Cursor are both AI-powered tools designed to assist with coding, offering different features and integration capabilities within code editors like VS Code.
🔗 Cursor, financed by OpenAI, and GitHub Copilot, support integration with GPT-4, ensuring advanced AI capabilities in programming assistance.
💡 Both tools are useful for beginners and advanced programmers, offering real-time code suggestions and problem-solving assistance.
🤔 The choice between GitHub Copilot and Cursor may depend on specific needs such as pricing, features like inline completion, and external reference capabilities.
💳 Pricing varies between the two, with GitHub Copilot generally being less expensive than Cursor for individual use.
🚀 GitHub Copilot recently incorporated GPT-4, enhancing its functionality and making it more competitive with Cursor's offerings.
📊 Cursor excels with features like strong external reference capabilities, potentially outweighing its higher cost for those who value this feature.
📝 Both tools allow seamless coding experience but have distinct strengths: GitHub Copilot in inline code completions, and Cursor in managing external references.
🛠️ Some users might find GitHub Copilot's filtering system too restrictive, potentially limiting the range of topics it can assist with.
🧩 Cursor does not currently support Dev Containers, which can be a limitation for developers working in complex environments.

Q & A

What are the two AI programming assistance tools discussed in the script?
-The two AI programming assistance tools discussed are GitHub Copilot and Cursor.
What is the main difference between GitHub Copilot and Cursor in terms of their functionality?
-GitHub Copilot is an extension that can be integrated into various editors, including VS Code, while Cursor is a standalone editor with built-in AI support.
Which company is known for its investment in Cursor?
-OpenAI, which is also known for developing the GPT models, has invested in Cursor.
What is the 'Inline Completion' feature mentioned in the script?
-Inline Completion is a feature that predicts and displays the next lines of code as you type, allowing you to complete your code by pressing the tab key.
What is the main advantage of using Cursor for programming?
-Cursor offers a seamless programming experience with efficient code writing support, and it has features like external reference functionality that allows it to provide answers by reading information from URLs pasted by the user.
What is the current pricing model for both GitHub Copilot and Cursor?
-Both GitHub Copilot and Cursor offer monthly subscription plans for individual and business use, with Cursor being slightly more cost-effective with an annual plan.
What is the significance of the update where GitHub Copilot started using GPT-4?
-The update allowed GitHub Copilot to provide responses generated by GPT-4, making the quality of the generated code and responses comparable to Cursor, which also uses GPT-4.
What is the limitation of GitHub Copilot when it comes to handling off-topic questions?
-GitHub Copilot has a strict filter that may refuse to answer questions deemed off-topic, which can be limiting if the user is seeking information not directly related to programming.
Why might a developer find Cursor more appealing than GitHub Copilot?
-Cursor, being a full-fledged editor, allows for a wider range of development activities and offers a more free and innovative experience. It also has rapid development updates and features like GPT-4 and code interpreters.
What is the main disadvantage of Cursor mentioned in the script?
-Cursor's inability to work within container environments, which can be a significant drawback for developers who rely on containers for compatibility and streamlined development.
What does the speaker recommend for those interested in trying out Cursor?
-The speaker recommends that those interested should definitely give Cursor a try, as it offers a different and potentially more liberating development experience compared to other tools.
What is the speaker's final recommendation between GitHub Copilot and Cursor?
-The speaker leans towards recommending Cursor due to its standalone editor capabilities, rapid development pace, and innovative features.

Outlines

00:00

🤖 Introduction to GitHub Copilot and Cursor

The video introduces the topic of choosing between GitHub Copilot and Cursor, two AI-powered programming assistance tools. The speaker shares their personal experience using both tools and expresses a growing preference for AI support in programming. The video aims to discuss the strengths and weaknesses of each tool based on the speaker's experience.

05:02

💡 Features and Functionality Comparison

The video compares the features of GitHub Copilot and Cursor. Both tools use the GPT4 language model, enabling them to generate high-quality code. Cursor is highlighted for its powerful external reference feature, which can provide instant answers by reading information from URLs. GitHub Copilot is praised for its inline completion feature, which predicts and completes code as the user types. The video also notes that while both tools can be used concurrently, certain features like opening multiple chat windows are exclusive to GitHub Copilot.

10:02

💸 Pricing and Value for Money

The video discusses the pricing of GitHub Copilot and Cursor, noting that there is a significant price difference between the two, with Cursor being more expensive. However, the speaker suggests that Cursor might offer better value for money with its annual plan. The video emphasizes the importance of considering the cost when choosing between the two tools.

🚀 Developer Experience and Preferences

The speaker shares their personal preference for Cursor due to its editor status and the freedom it offers for development. They note that Cursor, being developed by a startup, has been rapidly evolving and has features like GPT4 and code interpreters. The video concludes by encouraging viewers to try out Cursor if they are interested, and thanks the developers of both tools for their contributions to the programming community.

Mindmap

Keywords

💡GitHub Copilot

GitHub Copilot is an AI-powered programming assistant that integrates into code editors like Visual Studio Code. It assists developers by generating code suggestions and answering programming-related queries. In the video, it is compared with another tool, Cursor, and discussed in the context of its features and pricing.

💡Cursor

Cursor is an AI-driven code editor that offers functionalities similar to Visual Studio Code but with added AI support for programming. It is highlighted as a tool that can read external URLs and provide answers based on the content, which is seen as a significant advantage in the video.

💡GPT4

GPT4 refers to the fourth generation of the GPT (Generative Pre-trained Transformer) model developed by OpenAI. It is an advanced AI language model that both GitHub Copilot and Cursor utilize to provide code suggestions and answer questions. The video discusses the recent update where GPT4 was integrated into GitHub Copilot, making it more powerful.

💡Inline Completion

Inline Completion is a feature that predicts and suggests the next lines of code as a developer types. It is presented as a significant time-saver and a feature that can greatly enhance coding speed. The video mentions that GitHub Copilot has an impressive implementation of this feature.

💡Streaming Function

The Streaming Function refers to the ability of an AI tool to provide responses in a continuous, real-time manner as the user types their queries. The video suggests that GitHub Copilot's streaming function is not as smooth as Cursor's, which can cause a slight delay and affect the user experience.

💡Code Referencing

Code Referencing is the ability of an AI tool to analyze and understand the context of the existing code within a project to provide more accurate suggestions or answers. The video points out that while GitHub Copilot has this feature, it can sometimes be slow in delivering responses when referencing a large amount of code.

💡Off-Topic Model Input

Off-Topic Model Input is a feature where the AI tool filters out and does not respond to queries that are not related to the main topic, in this case, programming. The video discusses how GitHub Copilot has implemented this feature to ensure that GPT4 is used only for relevant programming queries.

💡Development Environment

A Development Environment refers to a setup that allows developers to write, test, and debug their code. The video mentions that Cursor does not currently support development within containerized environments, which is seen as a limitation for some developers who prefer to work within such isolated and consistent environments.

💡Container

In the context of software development, a Container is a lightweight, standalone, and executable software package that includes everything needed to run a piece of software, including the code, runtime, system tools, and libraries. The video discusses the lack of support for containers in Cursor as a downside for developers who rely on containerization for their work.

💡Startup

A Startup refers to a young company that is in the initial stages of its operations. The video mentions Cursor as being developed by a startup, implying that it is a newer and potentially more agile company compared to the established GitHub, which could mean faster development and innovation.

💡Code Interpreter

A Code Interpreter is a feature that allows the execution and interpretation of code snippets within an editor or an integrated development environment (IDE). The video suggests that Cursor has a feature like this, which can be very useful for developers to test and debug their code without leaving the editor.

Highlights

GitHUB Copilot and Cursor are both powerful AI tools that can assist programmers by generating code and providing support.

The speaker prefers using both GitHUB Copilot and Cursor due to their complementary functionalities.

Cursor is an editor that operates similarly to Visual Studio Code and offers many useful extensions.

Cursor is backed by OpenAI and utilizes the GPT-4 model for advanced programming support.

GitHUB Copilot is an extension that can be integrated into various editors, including VS Code and Cursor.

Initially, GitHUB Copilot used a different model, but an update has made it use GPT-4, aligning it with Cursor's capabilities.

The pricing for both tools differs, with Cursor potentially offering better value with an annual plan.

Cursor's standout feature is its ability to reference external URLs, providing immediate and relevant responses.

GitHUB Copilot offers an 'Inline Completion' feature that predicts and completes code as the programmer types.

The speaker finds GitHUB Copilot's streaming functionality to be less smooth compared to Cursor's.

GitHUB Copilot has a strict filter that may sometimes incorrectly classify relevant topics as off-topic.

Cursor cannot be used within development containers, which is a significant limitation for some developers.

The speaker appreciates Cursor's rapid development and inclusion of features like GPT-4 and code interpreters.

Both tools are highly useful, but the speaker has a slight preference for Cursor due to its versatility as an editor.

The video provides a detailed comparison of the functionalities, advantages, and limitations of both GitHUB Copilot and Cursor.

The speaker recommends trying out both tools to see which one suits individual programming needs better.

The video concludes with a call to action for viewers to like, comment, and subscribe for more content.