Build Amazing Apps With My NEW 8-Step Vibe Code System
AI Summary
This video guides viewers through a practical, multi-step system to efficiently build a solid MVP (Minimum Viable Product) app using AI-generated code, focusing on thorough planning over trial-and-error. The presenter emphasizes the importance of adopting a planning mindset where the human guides AI as a tool rather than expecting AI to do all the work. It covers eight steps from ideation to detailed implementation, with prompt examples available in their school group.
Key points include:
- Avoiding the common cycle of vague app ideas and bloated code by clearly defining the MVP upfront.
- Breaking down the app features into user stories, technical decisions, and UX considerations.
- Creating detailed style guides and state designs to manage different UI states.
- Developing a highly granular technical specification including tech stack, data architecture, APIs, and security.
- Using iterative evaluation and optimization to refine the development plan.
- Step-by-step code generation advised for manageable progress and debugging.
The example app built is a prompt repository for storing, sharing, and managing AI prompts with features like markdown and XML support. The video also showcases using tools like Next.js, Tailwind CSS, Prisma, and deployment on Vercel.
The presenter shares personal experience on handling challenges like TypeScript errors during the process and discusses future features like marketplaces and AI-powered prompt improvement. The video aims to empower developers to build well-planned AI-assisted apps efficiently with a repeatable system.