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AI Vibe Coding Secrets: Context7 & 10xRules for Project-Level Prompts

Summary

Quick Abstract

Unlock the secrets to successful AI Coding! Many find "Vibe Coding" intriguing, but struggle to replicate results. This summary dives into the crucial technology and thinking behind effective AI-assisted development, revealing hidden settings and environment considerations.

Quick Takeaways:

  • Specify your development environment (Windows, Mac, Linux) in prompts to avoid command conflicts.

  • Manually input initial project creation commands for safer, more accurate results.

  • Add summaries to your code for easier AI revision and prevent repetitive code generation.

  • Thoroughly discuss project frameworks and requirements with the AI beforehand.

  • Utilize tools like Propacity and Context7 for researching libraries and generating project-specific prompts.

  • Break down large tasks into smaller, manageable projects for AI.

  • Provide clear specifications, documentation (specs, readme, to-do lists), and code comments for the AI.

Learn how to leverage tools to enhance the AI's access to documentation and create better code with well-defined instructions. Avoid common pitfalls.

Introduction

Hello, everyone. I'm Uncle Kevin. This channel focuses on AI applications and intelligent work processes, bringing you together to explore the endless possibilities of AI. Remember to like, subscribe, and turn on the notification bell to make AI your superpower.

The Mysterious Vibe Coding

Many of you have likely seen my previous two videos introducing Vibe Coding. If not, please check them out. While Vibe Coding seems incredibly powerful, some of you may be wondering why you can't replicate it on the internet. Creating an app or game with just a few words sounds amazing, but in reality, it's not as simple as it looks. Today, we'll delve into the technology and thinking behind Vibe Coding.

The Development Environment

The development environment plays a crucial role in AI coding. When developing in Windows and Mac environments, there are differences in commands. For example, in Windows, when combining multiple commands for command output, you need to use the end-to-end symbol for division. In Linux or Mac, a different symbol is used. AI is more accustomed to using Mac or Linux commands for output, which can cause problems in Windows. To avoid issues, it's essential to inform the AI about your environment in advance.

Project Creation and Large-Scale Models

When building a project, we usually use a command to create it. However, when using large-scale models, they may generate answers one by one. These models can sometimes experience hallucinations or errors. Manually inputting instructions is a safer approach. Additionally, providing a summary for your program can be beneficial. The summary helps you understand the program's purpose and makes it easier to revise or refer to other files.

Project Planning and Framework Selection

Project planning and framework selection are vital for successful AI coding. Before starting, it's important to discuss the structure with the AI. Provide clear requirements and specify the framework you want to use. This will ensure more accurate and efficient development. You can also search the internet for relevant information and use tools like Propacity or Context7 to gather data and technical documents.

The Coordination Mode

The coordination mode is a key concept in Vibe Coding and AI Coding. It divides large tasks into smaller ones, making the development process more manageable. This approach helps prevent the program from becoming too complex and ensures that AI stays on track. Other IDEs may not have this feature, but you can add task management tools like Task Manager to enhance the capabilities of AI coding.

Output Files and Documentation

To ensure effective development, it's important to have output files when the AI finishes writing the program or planning. These files can be used as references when handing over tasks or making revisions. Additionally, creating clear documentation, such as flowcharts, UML charts, and readme files, is essential. This documentation helps both humans and AI understand the program's purpose and functionality.

Using 10xluos.ai for Prompt Generation

10xluos.ai is a useful website for generating project-specific prompts. When writing programs, it's important to use specialized prompts for different tasks, such as front-end and back-end development. This website allows you to select the framework and content you need, and it will generate the corresponding prompt. It also provides information on where to place the prompt in different tools.

Context7 for NCP Services

Context7 is an NCP service that can provide official manuals and library technical documents. Installing this tool on your IDE can enhance the accuracy of your project. It allows you to check the relevant technologies and their instructions and examples, providing a reference basis for AI.

Implementing Prompts in the IDE

In the IDE development tool, you need to find the prompt or rule section. In the case of RUCO, the prompt is clearly labeled, but in other tools, it may be called a rule. Different modes in RUCO have different prompts, and you can customize the prompts according to your specific requirements. For example, you can specify the Windows environment command for the terminal machine or the language for output.

Installing Context7

Installing Context7 can be a bit more challenging in the Windows environment due to some controls. However, the tool provides specific instructions for Windows installation. After installation, you can use it to query relevant technologies and get detailed information.

The Importance of Clear Instructions

Writing clear instructions is crucial for AI coding. By providing detailed specifications, to-do lists, and readme files, you can ensure that the AI understands your requirements and produces a program that meets your expectations. Additionally, adding comments to your code can make it easier to understand and maintain.

Conclusion

AI coding has the potential to revolutionize the way we develop programs. However, it requires a solid understanding of the technology, the development environment, and the importance of clear instructions. By following the tips and techniques discussed in this video, you can enhance the effectiveness and efficiency of your AI coding projects. If you're interested in learning more about AI applications, subscribe to my channel and join my LINE community for further discussions.

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