Prerequisites
1
Set up MCP integration
Follow the MCP Integration guide to connect Product Graph to your IDE or AI assistant.
2
Access your codebase
Ensure your AI assistant can read your codebase. In Cursor or similar tools, simply open your project.
Mapping Code to Artifacts
Best Practices
- Start small: Begin with one capability, validate the workflow, then expand
- Review AI output: The AI may combine concepts that should be separate or miss edge cases
- Get approval first: Ask the AI to summarize proposed changes before executing
- Iterate: Create structure first with basic content, then enrich over time
Workflow
Each prompt follows the same workflow:1
Understand the Template
The AI retrieves the artifact template from Product Graph to learn what information is required.
2
Discover
The AI analyzes your codebase for relevant information based on the artifact type.
3
Pull Existing Data
The AI fetches any existing artifacts from Product Graph to avoid duplicates.
4
Reconcile
The AI creates a matrix comparing what it found in code vs. what exists in Product Graph, identifying additions, updates, and removals.
5
Approval
You review the reconciliation matrix and approve before any changes are made.
Prompts
Product
Capabilities
Features
Requirements
Acceptance Criteria
Core Entities
User Types
Next Steps
MCP Integration
Full reference for all MCP tools and configuration options.
Product Artifacts
Deep dive into each artifact type and best practices.