Cursor is a code editor that significantly enhances coding efficiency using AI technology. In this article, I will detail the characteristics of Cursor, installation methods, core features, and its lightweight plugin product, "EchoAPI for Cursor."
In today’s fast-paced digital landscape, where coding efficiency and accuracy are paramount, Cursor emerges as a revolutionary code editor designed to enhance the developer experience through the power of AI. Built on the robust foundation of Visual Studio Code, Cursor not only retains familiar features but also introduces advanced functionalities that assist developers in writing, editing, and understanding code with unprecedented ease. This article explores the core characteristics of Cursor, including its intelligent features like Smart Code Completion, an AI Assistant for coding queries, and an array of tools that streamline the coding process. Additionally, we will delve into "EchoAPI for Cursor," a lightweight plugin that simplifies REST API development, making it accessible and efficient for developers at every level.
Cursor is more than just a text editor for code. It’s an intelligent coding environment that leverages advanced AI models to assist developers in writing, editing, and understanding code. Think of it as having a knowledgeable coding partner always at your side, ready to offer suggestions, answer questions, and even predict your next moves.
Cursor is derived from Visual Studio Code (VS Code), one of the leading code editors globally. This foundation delivers a familiar and powerful editing experience, enabling Cursor's creators to concentrate on incorporating advanced AI features. The outcome is a tool that retains the familiarity of VS Code while providing significantly improved functionality.
The advanced features of Cursor may sound a bit complex, but in fact, its use is very user-friendly for developers of any skill level.
For experienced programmers, it enhances workflows, helps to tackle complex problems, and encourages the exploration of new coding patterns.
Beginners can use Cursor as an intelligent mentor, receiving explanations, suggestions, and error corrections.
Even non-technical team members can better understand the codebase through Cursor's natural language interactions.
Cursor stands out in the coding landscape by offering four revolutionary features designed to make coding smarter and faster. Let's delve into each feature with practical examples.
How to Use: Cursor Tab is automatically activated as you begin typing. Just start coding, and you'll see suggestions appear.
Cursor Tab goes beyond simple line completions; it can offer complex, multi-line code snippets, and even refactor existing code. For instance, if you’re working on a Python function to poll messages from AWS SQS (Simple Queue Service), and you start typing:
def pollMessagesFromSQS
Cursor might suggest completing the function like this:
def pollMessagesFromSQS():
sqs = boto3.client('sqs')
queue_url = 'https://sqs.us-west-2.amazonaws.com/123456789012/MyQueue'
response = sqs.receive_message(
QueueUrl=queue_url,
AttributeNames=['SentTimestamp'],
MaxNumberOfMessages=1,
MessageAttributeNames=['All'],
VisibilityTimeout=0,
WaitTimeSeconds=0
)
if 'Messages' in response:
message = response['Messages'][0]
receipt_handle = message['ReceiptHandle']
sqs.delete_message(
QueueUrl=queue_url,
ReceiptHandle=receipt_handle
)
return message['Body']
else:
return None
Cursor’s smart code completion in action:Automatically generating a complex pollMessagesFromSQS() function, including AWS SQS client setup, message retrieval, and deletion logic.
How to Use: Press Command L (or Ctrl L on Windows/Linux) to open the chat panel. Type your question and hit Enter to submit.
Cursor’s Chat feature is equipped to handle intricate inquiries about your codebase, algorithms, and best practices. For example, after generating the function mentioned earlier, you can ask:
How can I modify this function to handle multiple messages and implement error handling?
Cursor will then respond with an AI-assisted suggestion for an improved pollMessagesFromSQS function that includes multi-message handling and robust error management. With the "Apply" button, you can seamlessly integrate these changes into your code.
How to Use: To edit existing code or generate new code, select the relevant code (or place your cursor where you want to insert new code), press Cmd K (or Ctrl K on Windows/Linux), and type your instruction.
This powerful feature allows you to request specific code changes or generate new snippets using natural language. Cursor intelligently interprets and applies these modifications. For example, to enhance the existing code, you could use Cmd K to request:
Refactor this function to use async/await and implement exponential backoff for failed message deletions.
When you trigger the Cmd K prompt, it shows the original pollMessagesFromSQS function before refactoring. The image would illustrate how users can select code and instruct Cursor to implement precise improvements.
Cursor’s Cmd K feature in action: Refactoring the pollMessagesFromSQS function to use async/await and implement exponential backoff. The ‘Accept’ button allows instant application of the AI-suggested changes.
How to use: This feature runs automatically in the background. You can query the project structure through chat or use this feature in prompts by@Codebase.
This advanced feature allows Cursor to comprehensively analyze and explain your project structure, providing valuable insights and recommendations based on the overall context of your codebase. It helps to deeply explore your project's architecture, complex component interactions, and potential optimizations. To illustrate the power of this feature, let’s utilize the @Codebase function to investigate our SQS polling application:
def pollMessagesFromSQS
Using the initial structure of the SQS polling application, which implements asynchronous message polling and processing, as a reference point for AI-generated suggestions for improvement.
Cursor’s @Codebase feature in action: evaluating several files (sqs.py, main.py, config.py, processor.py, and logger.py) to provide a thorough response regarding the SQS polling application.
Cursor’s AI-generated response includes six detailed recommendations to enhance the robustness of the application, including an example of an implementation with a "worker pool" option for immediate code integration.
The official Cursor website lists numerous practical features. During my spare development time using Cursor, I encountered its convenience and am even considering implementing it in my work.
Here are some particularly recommended use cases:
After modifying code, users can choose whether to apply the changes, making the process very smooth.
After generating code suggestions with Command K, users can simply use Command Y to apply the suggestions, creating a seamless flow. In contrast, GitHub Copilot and ChatGPT often require copying and pasting to correct code.
3Users can provide the entire codebase for reference.
In addition to the entire source code, you can specify files to be referenced in custom settings. For example, you can configure custom settings for the codebase and search successfully within a specified folder, answering User table definitions found within the webapp/ folder.
Users can easily reference source code, git commits, and supplementary information through Cursor's chat interface.
Using the @~ directive, users can reference specific files, functions, structures, or git commits. Commands like @Deno allow direct referencing of Deno's official website and its subpages.
This symbol function could arguably be described as the core feature of Cursor:
You can also use the "Add New Document" feature to register symbols for external libraries and sites.
In the competitive landscape of editors such as Vim, Emacs, Sublime Text, and Atom, VS Code has gradually become the mainstream choice. I believe that Cursor is emerging as the editor of the AI era.
As someone who has extensively used both Visual Studio Code and Cursor in my development work, I've identified several standout features that elevate Cursor above other AI-enhanced coding tools. Here are the key aspects that make Cursor unique:
Cursor’s foundation as a fork of Visual Studio Code provides a significant advantage for developers familiar with VS Code. Transitioning to Cursor is incredibly smooth, as you can easily import your VS Code configuration with just one click. By navigating to Cursor Settings > General > Account, you can:
Easy VS Code Settings Import: Cursor offers a one-click import feature that enables users to instantly bring all their extensions, settings, and keybindings from VS Code into the Cursor environment.
Cursor provides exceptional flexibility in choosing AI models, allowing developers to tailor AI assistance to meet specific project needs or personal preferences. This feature encourages innovation and enhances coding efficiency:
Cursor offers a range of AI model configurations along with options to input API keys for services such as OpenAI, Anthropic, and Google AI.
Cursor's Flexible Model Selection allows users to seamlessly switch between various AI models while utilizing the chat feature or the Cmd K editing function.
A standout feature of Cursor is its integration for remote server environments:
Next, I would like to specifically introduce EchoAPI for Cursor, which can be described as a plugin for Cursor. This plugin greatly simplifies the development of REST APIs, enabling a more efficient development workflow.
EchoAPI for Cursor is a plugin that enables the direct development of REST APIs within Cursor. This tool emphasizes simplicity, a clean design, and local storage, and it is offered for free. It is perfect for developers looking to quickly design and debug APIs.
Next, we will introduce how to use EchoAPI for Cursor in actual development.
Furthermore, EchoAPI for Cursor can import data from Postman and is fully compatible with Postman scripts. This allows you to continue working in Cursor while leveraging your existing Postman environment.
As software development progresses towards greater complexity and demands, tools like Cursor play a vital role in bridging the gap between efficiency and functionality. Its AI-driven features empower developers to tackle challenges confidently while facilitating learning for newcomers through interactive guidance. Coupled with the innovative EchoAPI for Cursor plugin, developers can enjoy a seamless API development experience without the hassle of complicated installations or costs. By integrating advanced AI capabilities into a familiar coding environment, Cursor is paving the way for a new era in software development, where efficiency, simplicity, and intelligence converge to create a truly modern coding experience.
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