Creating an AI Qualification Learning Support App: Node.js Introduction
Analysis
This article discusses the initial steps in building the backend for an AI qualification learning support app, focusing on integrating Node.js. It highlights the use of Figma Make for generating the initial UI code, emphasizing that Figma Make produces code that requires further refinement by developers. The article suggests a workflow where Figma Make handles the majority of the visual design (80%), while developers focus on the implementation and fine-tuning (20%) within a Next.js environment. This approach acknowledges the limitations of AI-generated code and emphasizes the importance of human oversight and expertise in completing the project. The article also references a previous article, suggesting a series of tutorials or a larger project being documented.
Key Takeaways
- •Figma Make can be used to quickly generate UI code.
- •AI-generated code requires human refinement and completion.
- •Node.js is used for backend development.
“Figma Make outputs code with "80% appearance, 20% implementation", so the key is to use it on the premise that "humans will finish it" on the Next.js side.”