Imagine this common scenario: you have a detailed product requirements document for your next project. Instead of reading the whole document and manually starting to code (or defining test cases or API specifications) to implement the required functions, you want to see how AI can shorten your path from the requirements document to a working application prototype.
In this article, we’ll show you an example of how you can use Gemini Code Assist to access a requirements doc without leaving your code editor through Google Docs integration, part of Gemini Code Assist tools, and get from requirements to a working application using a few natural language prompts.
Prerequisites
Preparation
Start from a requirement analysis doc to create your application. This can be any requirements analysis document. For this example, imagine you have an app to generate ideas for weekend plans.
If you want to follow the same example, you can download this doc and open it with Google Docs in your Google Drive in order to save it as a Google Doc, otherwise you can use any other doc containing functional requirements for an application.
The document details the functional specifications for a weekend ideas application that lets users submit, browse, vote on, and comment on ideas for spending the weekend. It features category-based filtering, real-time voting updates, and dynamic ranking based on scores and votes.
