Date: 02/01/2025
Okay, this video is seriously cool for anyone diving into AI-assisted development. Essentially, it shows how to go from zero to a working productivity app using AI tools in a remarkably short time. He uses React Native, Supabase, and crucially, Cursor AI, along with a well-crafted ChatGPT prompt to generate the app structure. It’s a practical, end-to-end example, not just theoretical fluff.
Why is it valuable? Because it’s a blueprint for leveraging LLMs for real coding tasks. We’re talking about using AI to scaffold an entire application based on a simple prompt and then refining it. It’s the kind of workflow I’m actively building into my own projects. I can see using this approach to quickly prototype new features or even entire microservices within a larger Laravel application. Imagine describing a new API endpoint in detail to an LLM, generating the initial controller, model, and migration files, and then focusing on the business logic.
The most inspiring part is the speed and the clear demonstration of how to combine different AI tools – ChatGPT for planning and Cursor AI for the actual coding. Seeing him use DeepSeek API to enhance the app’s functionality just seals the deal. It’s a worthwhile experiment because it showcases a tangible path towards faster development cycles and lets you concentrate on higher-level problem-solving instead of getting bogged down in boilerplate. I am definitely playing around with this!