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Creating Comment Genie: An AI-Powered App for YouTubers

Introduction to Comment Genie

I created a really useful app that helps YouTubers respond to their comments using the power of AI. It’s called Comment Genie, and you can sign up for beta testing for free while it’s in beta. Click the link down below to test it out!

How Comment Genie Came to Life

In just three days, I built Comment Genie. The app allows users to log in with Google and view their ten most recent comments on a dashboard. To get started, I used the ChatGPT app for brainstorming, prompting, and coding assistance. Let’s dive into the process!

Brainstorming with AI

When kicking off my project, I logged into ChatGPT and outlined my idea. After some back-and-forth discussions, I asked for encouragement in a French accent with sound effects to keep the mood light. This helped me feel motivated as I started coding. Encouragement is key when taking on such a significant challenge.

Creating the Roadmap

I instructed ChatGPT to summarize the app and provide a roadmap in markdown format. This roadmap was essential for organizing my thoughts and establishing a clear plan for development.

Choosing the Right Tech Stack

Transitioning from ChatGPT to OpenAI’s advanced reasoning model, I utilized the roadmap to request the best tech stack, including front end, back end, and database options. This breakdown gave me a structured approach to building the app.

Setting Up the Code Environment

I signed up for Replit to store and edit my code in the cloud. Replit allows quick testing and efficient management of code. I also downloaded Cursor to aid in coding autonomously.

Building the App Step by Step

Using Cursor Composer, I tackled the development process step by step, starting with creating a basic login page for Comment Genie. I fed specific prompts to ensure that the designs were as close to my vision as possible.

Styling the App

Once the core functionality was in place, I recognized the need for better styling. I turned to v0, a tool that enhances visual design. By providing specific prompts, I was able to create a beautiful and responsive dashboard in dark mode.

Adding the Finishing Touches

To give Comment Genie a professional look, I used Midjourney for logo creation. A few prompts later, I had a logo I was proud of, which completed the app’s aesthetic.

Deployment and Feedback

After rigorously testing the app, I prepared for deployment. I used Docker for ease of portability, and Linode to host the live application. By incorporating beta tester feedback back into the app, making improvements was seamless.

Final Thoughts

The journey to create Comment Genie was rewarding and educational. Although building an app requires effort, leveraging AI tools made the process smoother. If you have any suggestions or ideas to enhance this approach, I’d love to hear your thoughts!

Be sure to sign up for the beta testing by clicking the link below!

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  1. As a senior developer, I can tell you that what you did was childs play. This is not real coding and lot of people who are too lazy to learn to actually code are waiting for the day they don't have to. That day is no where near.

    AI is a fanstatic tool for developers, no doubt. But all these "Create app, NO CODE, AI", at the moment are all nonsense. At the end of the day, it comes down to this, AI multiplies your productivity. If someone knows how to code and understands the depth of the tech, not just some scribble that AI-generated that you don't understand, they will be far more productive and successful. And by the time you learn how to make some simple youtube app, actual developers will be utilizing it to create far more interesting and complex projects.

    If you like tech, learn how to code. Don't wait for the day you can ask AI to make you money.

  2. app that is made in this video is very basic app, while when u really use cursor with android sdk or xcode to make a decent calculator app- it fails miserably ..throws lot of errors , took 35-50 mins to make a simple calculator app..

  3. I don’t know if I missed it but where did you showed the party where the ai is replying to the user. Where it is located it’s a api from a ai model which reads and generates ?

  4. Hey! I know this is beyond the scope of the video, but I'm trying to add ssh in Replit, and it says that I need to pay. I followed the video on this subject and I keep getting the same message. Any thoughts?

  5. So… 3 days just to bootstrap a FE and a BE (which should take around i dunno 3-4 hours, comfortably? ). 3 days of trial and error not presented in the video (so 3 days can be actually a week, we need to trust your word on this, plus other parts skipped). A fast forward video that screams "trust me bro" . I can't wait to see the follow-up video. It's weird, cause i keep seeing these videos on youtube with "amazing", "built in hours" yet all are the same. Strange, when i'm using any combination of ai be it cursor, o1, claude… it doesn't manage to do these amazing things, half of the time it delays me with hallucinations. So yeah, I am getting really annoyed with "how to build using no-code /using only ai/ insert other buzzword here" videos everywhere.

  6. That was ground-breaking. will definitely try out. only issue is i would not know if this very comment of mine ever replied by you or ai : ) at least with current version i know you hit the reply button yourself. Thanks for video.

  7. Thank you for sharing your knowledge.
    It seems as if your video is meant for very experienced developers and not for those who want to start learning how to code?
    Please, clearify

  8. Hi love the video, can you create another video with more basic stuff, for example how to debug with cursor, how to put breakpoints, how to search a method or word inside a project? how to tell cursor to write ui only with angular, what is the best way to create a module in cursor or manually and tell cursor what to write in each file? please it will be helpful for that day to day use.

  9. This is a really cool idea however, I have some questions about your methodology. All of the different AI tools you’re using are essentially GPT wrappers. Replit offers a integrated AI solution like cursor, but can also read, create, and deploy applications in the same manner as the other tools you used all in the same package. Was there a larger benefit to splitting up the process? Replit also lets you change the model from for your code and has selections of GPT itself, Claude, and Meta’s 405 billion parameter model last I checked.