1.9 KiB
1.9 KiB
| title | linkTitle | weight | description |
|---|---|---|---|
| Getting More | Getting More | 20 | Practical examples and advanced techniques for AI-assisted AL development |
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:
- Scenario: A realistic development task
- Goal: What you're trying to achieve
- Step-by-Step: Detailed instructions with actual prompts
- Review Points: What to check in the AI-generated code
- 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.