Generate Functional Module Using AI

[KrishnaVAMSI-2003]

Description

We aim to implement a system where users can interact with a voice AI agent to provide requirements for a backend module. The voice AI agent will conduct requirement gathering to identify entities and their relationships in the system. This information will be used to generate a fully functional module, complete with CRUD APIs, integrated into the application.

The module generation can leverage either AI-based code generation or a script-based approach utilizing third-party libraries. The generated module must align with the project’s conventions and seamlessly integrate into the application.

Requirements

1. Voice AI Agent for Requirement Gathering (PM would be handling this)

• Develop a voice AI agent capable of:
  • Capturing customer requirements through conversation.
  • Identifying entities and their relationships in the system.
  • Structuring the gathered data into a format suitable for module generation.

2. Module Generation

• Use the structured data from the voice AI agent to generate a functional backend module.
  • Option 1: Leverage AI to generate the module code.
  • Option 2: Develop a script that generates the module using third-party libraries.
• Ensure the module contains all required CRUD APIs and follows project standards.

3. Boilerplate Updates for Seamless Integration

• Enhance the boilerplate to improve AI compatibility for code generation.
• Address existing issues with module registration in app.ts:
  • Update app.ts to automatically detect all modules by reading their package.json files.
  • Ensure automatic registration of the API server for the generated module in app.ts.

Deliverables

• A voice AI agent capable of capturing and processing customer requirements.
• Functional module generation based on the gathered requirements, using either AI or a script-based approach.
• Updated boilerplate to:
  • Automatically register modules in app.ts.
  • Align AI-generated module code with project conventions.