Description

Create two comprehensive blog posts about the AI Data Mapper feature - one targeting internal developers and another for external users.

Objective

Document the AI Data Mapper from different perspectives to help both developers understand the implementation and users understand the capabilities and benefits.

Blog Posts Required

1. Internal Blog (Developer Perspective)

Target Audience: Internal development team, contributors, maintainers

Suggested Topics:

• Architecture and design decisions
• LLM integration approach
• Programmatic diagnostics and repair mechanisms
• Error handling and recovery strategies
• Code generation workflow
• Technical challenges and solutions
• Performance considerations
• Future enhancement opportunities
• Contributing guidelines for the feature

2. External Blog (User Perspective)

Target Audience: End users mainly healthcare people, product users

Suggested Topics:

• What is the Data Mapper?
• The Solution: AI Data Mapper?
• Key Features and Capabilities
• Real Healthcare Examples
• Responsible Use
• The Future of Integration Development

Version

latest