Getting More

This section provides hands-on examples of how to use AI assistants for common AL development tasks. Each guide walks through a realistic scenario with step-by-step instructions and prompts.

In This Section

• AI-Assisted Code Review - Use AI to review code for quality, performance, and best practices
• Generating Documentation - Automatically create and maintain documentation for your AL code
• Adding Telemetry - Instrument your extensions with Application Insights telemetry
• Refactoring Legacy Code - Modernize and improve existing AL code
• Writing Tests - Create comprehensive test coverage with AI assistance

How to Use These Guides

Each guide follows a practical, scenario-based approach:

1. Scenario: A realistic development task
2. Goal: What you’re trying to achieve
3. Step-by-Step: Detailed instructions with actual prompts
4. Review Points: What to check in the AI-generated code
5. Tips: Additional insights and variations

Before You Start

Make sure you’ve completed the Getting Started section to:

• Understand agentic coding concepts
• Set up your environment
• Learn effective prompting
• Know the best practices and limitations

Learning by Doing

These examples are designed to be:

• Practical: Based on real AL development tasks
• Detailed: Step-by-step instructions you can follow
• Educational: Explains why, not just what
• Adaptable: Patterns you can apply to your own work

Contributing Examples

Have a great example of AI-assisted AL development? Consider contributing! See the Contributing section for guidelines.