I can't believe we coded an app with AI in 67 mins (V0, Cursor AI, Replit, Claude AI)

Introduction

In a remarkable demonstration of the capabilities of AI-driven tools, we embarked on a mission to build a fully functioning application in just 67 minutes, using V0, Cursor AI, Replit, and Claude AI. The journey began by discussing the stark contrast between two types of viewers: those who dive deep to create something meaningful and those who fall at the first hurdle. This challenge emphasizes the importance of agency in the learning process.

The current landscape makes creating software easier than ever. With tools like V0, one can build applications that resemble well-established platforms, such as Notion, without writing code. For instance, it takes only a few hours to create a sleek app that incorporates full database functionality with these AI tools.

We decided to develop an innovative app that extracts startup ideas from video transcripts and constructs presentation slides or cards based on them. The initial layout comprised of essential components, where we planned to showcase the startup idea, market description, and internet audience insights.

Iterative refining was key during our session. We communicated our design preferences, such as making the presentation card slick with subtle animations and adjusting colors based on the assessment of startup ideas (sipping for positive feedback and spitting for negative). This collaborative feedback loop facilitated real-time adjustments, enhancing both aesthetics and functionality.

Incorporating a mechanism to evaluate startup ideas was another vital addition. We envisioned a drag-and-drop interface resembling a Tinder-style interaction, allowing users to swiftly categorize ideas as either 'sip' or 'spit.' To accompany the visuals, we also wanted sound effects to enhance user experience.

While there were hiccups along the way—like errors in code and unexpected results—each obstacle provided a learning opportunity. This iterative process mimicked real-world coding scenarios, reinforcing the teaching that problem-solving is at the heart of development.

Next, we connected the front-end interface created in V0 with Cursor, a powerful AI tool that can generate the back-end functionalities needed for app deployment. This integration allowed us to create an app where users can submit startup ideas, which are then evaluated and either saved or discarded.

During the session, the importance of error handling became apparent; facing bugs and understanding them is part of the coding journey. Unlike traditional programming where one might feel lost without proper error messages, using AI tools lends an interesting angle to troubleshooting.

Eventually, we arrived at an opportunity to save ideas directly from video transcripts into an organized library, further enhancing app utility. We highlighted the ability to filter, categorize, and analyze extracted ideas, making the application not just a prototype but an actionable resource for entrepreneurs.

Our final goal was to make a community of aspiring coders who could leverage these tools to build applications effectively. Learning to compose software using AI, much like a musician composes music, was a captivating angle we emphasized throughout our conversation.

In conclusion, this exercise displayed not only the versatility of AI tools but also the importance of persistence in the tech learning curve. As more people explore these opportunities, the barriers to entry continue to diminish.

Keywords

AI, V0, Cursor, Replit, Claude AI, app development, startup ideas, user interface, software composition, iterative feedback, error handling, drag-and-drop, community building.

FAQ

Q1: What tools were used to create the app?
A1: We used V0, Cursor AI, Replit, and Claude AI to build the application.

Q2: What is the main purpose of the developed app?
A2: The app extracts startup ideas from video transcripts and creates presentation cards for those ideas.

Q3: How long did it take to build the app?
A3: The app was created in just 67 minutes.

Q4: What feature allows users to categorize startup ideas?
A4: A drag-and-drop interface was implemented, allowing users to mark ideas as 'sip' or 'spit.'

Q5: What was the most significant learning takeaway from this experience?
A5: The iterative process of problem-solving and how collaboration with AI can enhance app development.