Coding a FULL App with AI (You Won't Believe This)

Summary

In just three days, the creator developed an innovative app called Comment Genie, designed to help YouTubers efficiently respond to comments using AI. Through the use of powerful tools like ChatGPT, Replit, Cursor, and Midjourney, the creator built the app's features, from the basic login page to an AI-powered dashboard. The app was designed, styled, and tested with feedback from beta users, showcasing the potential of AI in speeding up development and enhancing user experience. The app is currently in beta, and users can sign up to test it for free, while the creator encourages others to explore the app’s potential and provide feedback.

Takeaways

• 😀 The app 'Comment Genie' was built to help YouTubers respond to comments using AI, developed in just three days.
• 😀 Beta testing for the app is currently open and free, and interested users can sign up through a provided link.
• 😀 The process of building the app started with brainstorming and interacting with ChatGPT to map out the app's features and functionality.
• 😀 The app has a simple Google login and a dashboard displaying the ten most recent comments from users.
• 😀 The development journey involved using AI tools like ChatGPT (GPT 4o and o1-preview) for generating roadmaps, tech stacks, and step-by-step coding guides.
• 😀 Replit was used as a cloud-based coding platform to store, edit, and test the app's code quickly.
• 😀 Cursor Composer was integrated into the process to automate the building of the app, especially by working with AI agents to generate the code for specific features.
• 😀 The app initially lacked design, but v0 was used to add stylish, responsive components to the front-end, including dark mode styling.
• 😀 Midjourney was used to generate a custom logo for the app, which was then seamlessly integrated into the design.
• 😀 For deployment, Docker and Linode were used to host the app, making it portable and accessible for beta testers, with Dockerfiles and compose YAML files simplifying the process.
• 😀 Feedback from beta testers, like Michael Wagner, was easily incorporated into the app by updating the code using Cursor Composer, highlighting the flexibility and adaptability of the development process.

Q & A

What is Comment Genie and how does it help YouTubers?

Comment Genie is an app designed to help YouTubers respond to their comments using AI. It allows users to log in and view their most recent comments, and then automatically generates AI-powered responses for them.

How long did it take to develop the app?

The app was developed in just three days, using various AI tools to assist with the coding and design process.

What was the first step in building the app?

The first step was to brainstorm the app's concept using ChatGPT and get feedback on the structure and roadmap for the project.

Which AI tools were used to build the app?

Several AI tools were used, including ChatGPT for brainstorming and generating roadmaps, Cursor Composer for coding and development, v0 for front-end design, and Midjourney for creating the app's logo.

What role did ChatGPT play in the development process?

ChatGPT helped with generating a roadmap for the app and providing step-by-step instructions for building the app's features, as well as suggesting the tech stack for both front-end and back-end development.

Why was Replit used during development?

Replit was used to store and edit code in the cloud, allowing for quick testing and making the development process faster and more efficient.

How did the app's user interface (UI) get its final design?

The UI design was created using v0, which helped generate responsive and visually appealing components for the dashboard and other elements of the app. The design was further refined with dark mode styling.

How did Midjourney contribute to the app's branding?

Midjourney was used to generate a logo for Comment Genie. After experimenting with different prompts, a vector logo was created that was used as the app's branding.

What is the significance of the YouTube Data API in this project?

The YouTube Data API was crucial for the app, as it allowed the app to fetch and respond to YouTube comments. It was used to integrate the comment functionality into the app.

How did the beta testing phase contribute to the app's development?

During the beta testing phase, feedback from users like Michael Wagner helped improve the app, including a feature to recognize comments already replied to on YouTube, which was implemented by modifying the back-end code.