After developing over 10 projects with Cursor, I’ve compiled 10 pieces of wisdom along with 60 prompt examples that might just revolutionize your workflow.
**1. Start with the Project Framework – Let AI Lay the Foundations! 🏗️**
Challenge: Initiating a project from scratch can be daunting, often leading to stagnation due to a lack of direction.
Solution: Utilize Cursor to generate a project framework, from file structure to basic modules, all in one go!
Prompt Examples:
– “Generate a Spring Boot project framework that supports REST API and database connectivity.”
– “Design a project structure with a separation of front-end and back-end, using Vue for the front and Flask for the backend.”
– “Create a user authentication module that supports JWT, including database models.”
Impact: With a clear framework, projects take off more smoothly, doubling development efficiency.
**2. The Clearer the Prompt, the Smarter the AI! 🧠**
Challenge: Vague prompts can lead to AI-generated code that doesn’t meet expectations.
Solution: Craft prompts that are specific and clear; the more detailed the requirement, the more accurate the result.
Prompt Examples:
– “Implement a multi-threaded crawler in Python, including URL deduplication.”
– “Generate a REST API service based on Express.js, with pagination support.”
Impact: Clear prompts make AI more attuned to your needs, leading to more efficient development.
**3. Delegate Repetitive Tasks to AI – Focus on What Matters! 🎛️**
Challenge: Monotonous tasks like generating mock data and interface documents can be time-consuming.
Solution: Automate these tasks with Cursor, saving time to focus on core development.
Prompt Examples:
– “Generate interface documentation for the user service, including request parameters and return value descriptions.”
– “Create mock data for the order service, including JSON format examples.”
Impact: AI handles the repetition, leaving you time for more critical tasks.
**4. Optimize Code Performance – Make Programs Fly! 🔄**
Challenge: Inefficient code performance and redundant logic.
Solution: Use Cursor to analyze and optimize code, enhancing performance and teaching elegant coding practices.
Prompt Examples:
– “Optimize the following code snippet to reduce memory usage and increase execution speed.”
– “Refactor code to remove duplicate logic and improve maintainability.”
Impact: Faster, more stable programs significantly enhance user experience.
**5. New Technology? No Problem, Cursor Has Your Back! 🔍**
Challenge: Overwhelmed when starting to learn a new technology.
Solution: Use Cursor to quickly search for documentation and sample code, making it easy to get started.
Prompt Examples:
– “Generate WebGL tutorial code to render a simple triangle.”
– “Learn about Flask’s routing capabilities, and generate sample code.”
Impact: Quick mastery of new technologies, from learning to practice without pressure.
**6. Let AI Write Test Cases – Save Time and Effort! 🧪**
Challenge: Writing numerous and complex test cases by hand is time-consuming.
Solution: Have Cursor automatically generate test cases, drastically increasing coverage and standardization.
Prompt Examples:
– “Generate unit tests for the following code with at least 90% coverage.”
– “Create Jest-based test cases to test user login functionality.”
Impact: Automated testing processes lead to more efficient development and higher quality assurance.
**7. Modular Development – For Clarity and Efficiency! 🚀**
Challenge: High complexity and confusion in large feature development.
Solution: Use Cursor to break down project modules, reducing complexity and boosting development efficiency.
Prompt Examples:
– “Design the basic structure of the user module to support CRUD operations.”
– “Generate separated code for the service layer and controller for the order module.”
Impact: Clearer development and more effective team collaboration.
**8. Refactoring Old Projects – AI Gives You the Edge! 🛠️**
Challenge: Taking over old projects with outdated code and chaotic logic.
Solution: Use Cursor to analyze old code and generate a robust refactoring plan.
Prompt Examples:
– “Upgrade the following code to the latest framework syntax.”
– “Analyze the technology stack of the old project and generate a plan to migrate to a new framework.”
Impact: Revitalize old projects, significantly improving delivery speed.
**9. Multimodal Development – Make Products Shine! ✨**
Challenge: Low efficiency in the design-code handoff, with too much repetitive work.
Solution: Harness Cursor’s multimodal capabilities to generate code directly from design illustrations.
Prompt Examples:
– “Generate HTML and CSS files based on the design illustration, supporting responsive layouts.”
– “Implement the style design of the following page using Tailwind CSS.”
Impact: Front-end development efficiency doubles, vastly improving user experience.
**10. Hit a Performance Bottleneck? AI to the Rescue! 🚀**
Challenge: Insufficient project performance with elusive issues.
Solution: Use Cursor to pinpoint performance issues and generate optimization solutions.
Prompt Examples:
– “Analyze the following code to identify performance bottlenecks.”
– “Optimize I/O operations to increase data processing speed.”
Impact: A 40% performance boost makes projects faster and more stable.
Below is the formatted content for WordPress blog post:
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After developing over 10 projects with Cursor, I’ve compiled 10 pieces of wisdom along with 60 prompt examples that might just revolutionize your workflow.
1. Start with the Project Framework – Let AI Lay the Foundations! 🏗️
Challenge: Initiating a project from scratch can be daunting, often leading to stagnation due to a lack of direction.
Solution: Utilize Cursor to generate a project framework, from file structure to basic modules, all in one go!
Prompt Examples:
– “Generate a Spring Boot project framework that supports REST API and database connectivity.”
– “Design a project structure with a separation of front-end and back-end, using Vue for the front and Flask for the backend.”
– “Create a user authentication module that supports JWT, including database models.”
Impact: With a clear framework, projects take off more smoothly, doubling development efficiency.
2. The Clearer the Prompt, the Smarter the AI! 🧠
Challenge: Vague prompts can lead to AI-generated code that doesn’t meet expectations.
Solution: Craft prompts that are specific and clear; the more detailed the requirement, the more accurate the result.
Prompt Examples:
– “Implement a multi-threaded crawler in Python, including URL deduplication.”
– “Generate a REST API service based on Express.js, with pagination support.”
Impact: Clear prompts make AI more attuned to your needs, leading to more efficient development.
…
10. Hit a Performance Bottleneck? AI to the Rescue! 🚀
Challenge: Insufficient project performance with elusive issues.
Solution: Use Cursor to pinpoint performance issues and generate optimization solutions.
Prompt Examples:
– “Analyze the following code to identify performance bottlenecks.”
– “Optimize I/O operations to increase data processing speed.”
Impact: A 40% performance boost makes projects faster and more stable.
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