Enable Cursor to generate predictable project setups

This lesson demonstrates how to solve the predictability problem when using AI to generate code in monorepos by combining Cursor with Nx generators.

Workflow demonstrated in this lesson:

• Explore how Nx generators provide predictable scaffolding for new libraries
• Set up Nx Console with MCP integration to expose generator capabilities to Cursor
• Use the AI assistant to brainstorm a new feature with the help of the Nx MCP tools
• Have Cursor leverage the Nx MCP tools to trigger the appropriate Nx generator for creating a React-based feature library
• Observe how the AI assistant takes the generated library and further integrates it into the codebase

Key benefits:

• Predictable Code Structure: Ensure generated libraries follow your project's and organization's conventions
• Consistent Setup: Maintain uniform configuration across TypeScript projects and package.json files
• Guided Implementation: Combine AI instructions with structured, predictable code generation