The whole process of developing and deploying AI comment generation website using Cursor

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1.Project background and requirements When a millionaire blogger friend who was an operator was looking for someone to review a video, he ran into the problem of using generic review copy but looking "fake." He wanted to generate comments related to the video and simulate the tone of a real person based on the video copy, but it was difficult to do so. Making a large number of comments at once proved to be a business opportunity.

2. Project development process 1. Front-end interface design : - Provide users with a front-end interface for inputting video copy and selecting comment styles. When the user clicks submit, the parameters are passed to the backend code. 2. Back-end code development : - Use Cursor to develop back-end code, click on services, APIs and API debugging documents, select a postman-like debugging interface, then click on SDK and select the Node.js language, download the complete project, and use the open cursor. Give Cursor a prompt word and you can quickly write page and back-end code. - Copy the identity information from Alibaba Cloud, replace the corresponding parts of the code, execute the startup command, and access it through the browser to see the initial effect. - During the development process, use Unified Qianwen to generate prompt words of corresponding styles (such as Bilibili style) in advance, enter the video copy and click submit, and the comment area can quickly return more ideal comments.

3. Project deployment and server selection 1. Server selection : - Considering the small scale of the service, choose Alibaba Cloud's lightweight server. This kind of server is also enough to meet your daily needs such as blogs and private network disks. For enterprise-level users with higher needs, Alibaba Cloud Elastic Computing has joined hands with Intel to provide high-performance general-purpose computing instance G8I based on the fifth-generation Intel Xeon scalable processor, which comprehensively improves computing, storage, network performance, and security capabilities. . 2. Deployment operations : - Use the Pagoda panel to facilitate subsequent operations, maintenance and management. Upload the code, execute the startup script, and start the project. Accessed via a browser, the page renders quickly.

4. Subsequent optimization and expansion of the project 1. Functional refinement : - The project may be further refined in the future, such as specifying the number of returned comments. After selecting the Bilibili style, you can also select two sub-styles, positive and negative, to add a custom style. - Add a copy button to comments. Users can click to automatically copy comments. These subsequent functions can continue to be generated using Cursor. 2. Server resource utilization : - Deploying only this project will waste server resources. Blogs, network disks, etc. can be installed on the Pagoda panel to fully utilize the value of the server. When traffic increases later, you can consider upgrading indicators such as CPU and memory.

5. Other related information 1. Experience and discount information : - The website generated by AI comments has been deployed and online. Interested users can click on the URL in the comment area to experience it for themselves. - Double 11 Alibaba Cloud big discount, discount link has been placed in the comment area. There are even bigger discounts for new users. Its products are not only more affordable, but also perform better. 2. Yunqi Conference Results : - At this year's Yunqi Conference, Alibaba Cloud released the ninth-generation ECS enterprise-class power supply G9I, which is based on Intel's latest sixth-generation Xeon processor GN2. The memory bandwidth has been increased to 70%, and the performance in web scenarios has been greatly improved compared to the eighth generation power. 20%.

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