Building a Shopping Wishlist with GibsonAI and Bolt.new
Introduction
This tutorial demonstrates how to build a shopping wish list application using two powerful tools: GibsonAI for backend development and Bolt.new for frontend creation. GibsonAI automates schema generation and API creation, while Bolt.new enables rapid frontend development. Together, they allow you to create a fully functional web application with minimal coding.
Backend Development with GibsonAI
Initiate the project by typing your request directly to GibsonAI. Example: "Build me a shopping wish list backend."
Choose your data model approach. When prompted, select either complete data model design or piece-by-piece construction. Selecting the complete model is faster.
Review and refine the generated schema. GibsonAI will create entities like products, sharing capabilities, tags, users, and wish lists. Provide specific feedback to adjust the model as needed (e.g., "There is no shopping cart, this is for products across different stores, so record what store it's from").
Deploy with one click. GibsonAI automatically generates the API, documentation, and database schema, providing both API keys and connection strings.
Frontend Development with Bolt.new
Gather backend information:
Copy the API base URL
Get your API key from GibsonAI settings
Download the JSON schema from the API documentation
Set up Bolt.new by providing the base URL, API key, and uploading the schema specification.
Request frontend generation with a command like "Build a frontend for a wish list app."
Add authentication when prompted to include login and signup functionality.
Implement core features like adding products to wish lists and setting priority levels.
Testing the Application
Test by creating user accounts, adding products (e.g., "Bermuda shorts" at $30), setting priorities, and verifying that items appear correctly in the wish list.
The result is a fully functional application with a robust backend and deployable frontend, built with minimal coding required.