Revealing my AI-Powered Coding Workflow To Build Apps SUPER Fast

Summary

In this video, the creator reveals how they’ve mastered building apps quickly using AI tools, having built over 50 AI agents and worked with 200+ clients. The process includes brainstorming app ideas with ChatGPT, validating markets, designing modern UIs with Lovable AI, and coding the back-end using Cursor AI for rapid development. Leveraging tools like MCP (Model Context Protocol) and Stripe integration, the creator optimizes workflows, reduces technical debt, and streamlines deployment, enabling efficient app building without traditional time-consuming development processes. The video shares how you can start building and launching apps within days using AI, even without coding experience.

Takeaways

• 😀 The speaker has built 50+ AI agents and automations, working with over 200 clients and generating six figures by building and selling apps.
• 😀 AI tools, particularly for coding workflows, enable the speaker to build apps quickly as a solo developer.
• 😀 ChatGPT is used for brainstorming app ideas by identifying problems in different industries and suggesting potential solutions.
• 😀 Market validation is crucial to ensure there's a demand for the app, with the speaker looking for similar apps that already perform well.
• 😀 UI design is a challenge for the speaker, but AI tools like Lovable AI help create modern, appealing user interfaces quickly.
• 😀 The speaker emphasizes using modern design components like Shad CDN and Next.js to ensure the app looks up-to-date in 2025.
• 😀 Cursor AI has transformed the speaker's coding process, helping to speed up development by offering code suggestions and acting as a coding assistant.
• 😀 Maintaining context throughout coding sessions with Cursor is essential for consistent and effective AI support.
• 😀 Cursor’s user and project rules allow for consistency across multiple apps, streamlining coding styles and minimizing technical debt.
• 😀 Model Context Protocol (MCP) in Cursor allows different AI agents to work together and share tasks, improving efficiency when building apps.
• 😀 For backend work, Cursor integrates with tools like Superbase and Stripe to handle database management and payment processing, reducing the need for manual coding.

Q & A

How has AI helped you speed up the app development process?

AI tools like ChatGPT, Lovable AI, and Cursor have dramatically sped up my app development. ChatGPT helps brainstorm and validate app ideas, Lovable AI creates stunning front-end UI designs, and Cursor assists with backend coding, database management, and payment integrations. This has allowed me to build and launch apps in a fraction of the time it used to take me.

How do you come up with app ideas and validate them?

I use ChatGPT to help brainstorm ideas by asking about industry-specific problems. After identifying problems in industries like real estate or fashion, I ask ChatGPT to suggest potential app ideas. For validation, I search for similar apps with strong customer bases and solid revenue streams. If those apps exist and perform well, it confirms a market for my app.

What’s your process for designing the UI of an app?

I use Lovable AI to design the UI by feeding it reference images of existing apps that I find visually appealing. I specify modern design preferences and ensure the UI is clean and user-friendly. Lovable AI then creates a beautiful, modern UI based on these instructions, which saves me significant time compared to designing it myself.

Why is market validation an important step before building an app?

Market validation ensures that there is a real demand for the app. If similar apps are already successful, it means the market is established, and there’s a potential for your app to succeed too. Without market validation, you risk wasting time on ideas that may not attract users or generate revenue.

What are some benefits of using Cursor for coding?

Cursor’s AI helps automate much of the coding process, making it easier to write efficient and clean code. It assists with autocomplete, helps identify bugs, and even integrates other workflows through MCP. By maintaining consistent project and user rules, Cursor adapts to your coding style and significantly improves productivity.

What is MCP (Model Context Protocol), and how do you use it?

MCP allows different AI agents to communicate and assist each other in the development process. For example, I built an automation that sorts my Gmail inbox on Naden, and through MCP, I can integrate this automation into my new app without needing to rewrite the code. It helps create a network of AI tools that work together to streamline development.

Why is using the same chat in Cursor important?

Using the same chat in Cursor ensures the AI understands the full context of the project. If you start a new chat for each coding session, the AI won’t be able to follow your progress or remember previous discussions. Keeping the conversation within a single chat allows Cursor to provide more relevant and effective suggestions.

How do you manage database and payment system integrations in your apps?

For database management, I use Superbase, and for payment processing, I use Stripe. While Lovable AI handles most of the integrations, I rely on Cursor for custom database queries and final payment system setups. This allows me to focus on higher-level tasks while automating repetitive integrations.

What is the advantage of using Cursor’s user and project rules?

Cursor’s user rules allow me to standardize coding practices across all my projects, ensuring consistency and clarity. Project rules, on the other hand, help tailor the AI’s suggestions to the specific codebase by providing context about the project. This reduces technical debt and helps maintain a clean, scalable code structure.

How do you deploy your apps once they are built?

Once the app is ready, I deploy it using Vercel, which works seamlessly with Next.js. Vercel allows for easy and efficient deployment, and the best part is that it's free for many basic apps, making it an accessible tool for developers.