4db38ba4d3
- Add 6 MCP server documentation pages (bc-code-intelligence, al-dependency, azure-devops, serena, al-objid, clockify) - Add AI Coding Agents documentation (GitHub Copilot, Claude, Cursor) - Add Getting Started section (what is agentic coding, setup, prompting, best practices, limitations, glossary) - Add Getting More section (code review, documentation, telemetry examples) - Add Community Resources placeholders (articles, videos, tools) - Update Tools section to focus on MCP servers instead of VSCode extensions
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| title | linkTitle | weight | description |
|---|---|---|---|
| Blog Posts & Articles | Articles | 1 | Written content from the community about AI-assisted AL development |
Overview
This page curates blog posts, articles, and written guides from the Business Central community about using AI coding assistants for AL development.
Featured Articles
Getting Started
"My First Month with GitHub Copilot for AL Development"
Author: Community Contributor
Published: Example Date
Summary: A developer's experience adopting GitHub Copilot for AL development, including lessons learned, productivity gains, and common pitfalls.
Key Takeaways:
- How to configure Copilot for optimal AL suggestions
- Prompting patterns that work well for AL
- Mistakes to avoid when starting out
Link: [Example - Replace with actual link when available]
"Effective Prompting for Business Central Extensions"
Author: Community Contributor
Published: Example Date
Summary: Deep dive into writing effective prompts specifically for AL and Business Central development scenarios.
Key Takeaways:
- AL-specific prompting patterns
- How to provide context for better results
- Examples of before/after prompt improvements
Link: [Example - Replace with actual link when available]
Advanced Techniques
"Using AI to Modernize Legacy NAV Code"
Author: Community Contributor
Published: Example Date
Summary: Strategies for using AI assistants to migrate and modernize code from NAV to Business Central AL.
Key Takeaways:
- Approach for large-scale code conversion
- Handling NAV-specific patterns
- Quality assurance strategies
Link: [Example - Replace with actual link when available]
"AI-Assisted Test Development for AL"
Author: Community Contributor
Published: Example Date
Summary: How to leverage AI to create comprehensive test coverage for Business Central extensions.
Key Takeaways:
- Generating test codeunits with AI
- Creating test data setup
- Ensuring test quality
Link: [Example - Replace with actual link when available]
Real-World Case Studies
"How We Used AI to Accelerate Extension Development"
Author: Development Team
Published: Example Date
Summary: Case study from a development team that integrated AI assistants into their workflow, with metrics and results.
Key Takeaways:
- Productivity metrics before and after
- Team adoption strategies
- ROI analysis
Link: [Example - Replace with actual link when available]
"Building a Complex Integration with AI Assistance"
Author: Community Contributor
Published: Example Date
Summary: Detailed walkthrough of using AI to build a complex integration between Business Central and external systems.
Key Takeaways:
- Approach for complex projects
- What AI handled well vs. manual effort
- Lessons learned
Link: [Example - Replace with actual link when available]
Best Practices & Guidelines
"Code Review Checklist for AI-Generated AL Code"
Author: Community Contributor
Published: Example Date
Summary: Comprehensive checklist for reviewing AI-generated AL code before production.
Key Takeaways:
- Specific AL concerns to check
- Performance review criteria
- Security considerations
Link: [Example - Replace with actual link when available]
"When NOT to Use AI for AL Development"
Author: Community Contributor
Published: Example Date
Summary: Important discussion of scenarios where AI assistance is not appropriate or effective.
Key Takeaways:
- Limitation awareness
- Risk scenarios
- Alternative approaches
Link: [Example - Replace with actual link when available]
Specialized Topics
"Generating API Documentation with AI"
Author: Community Contributor
Published: Example Date
Summary: Techniques for using AI to create and maintain API documentation for AL extensions.
Link: [Example - Replace with actual link when available]
"AI-Assisted Performance Optimization"
Author: Community Contributor
Published: Example Date
Summary: Using AI to identify and resolve performance issues in AL code.
Link: [Example - Replace with actual link when available]
"Telemetry Instrumentation with AI Help"
Author: Community Contributor
Published: Example Date
Summary: Systematically adding Application Insights telemetry using AI assistance.
Link: [Example - Replace with actual link when available]
Series & Multi-Part Articles
"AI for AL Developers" Series
Author: Community Contributor
Parts: 5
- Part 1: Introduction and Setup
- Part 2: Basic Prompting Techniques
- Part 3: Advanced Workflows
- Part 4: Team Integration
- Part 5: Measuring Success
Link: [Series homepage - Replace with actual link when available]
Tips & Tricks Collections
"50 AI Prompts Every AL Developer Should Know"
Summary: Collection of tried-and-tested prompts for common AL development tasks.
Link: [Example - Replace with actual link when available]
"Quick Wins with GitHub Copilot in AL"
Summary: Short, actionable tips for immediate productivity gains.
Link: [Example - Replace with actual link when available]
How to Use These Articles
For Learning
- Start with "Getting Started" articles if you're new
- Move to "Advanced Techniques" as you gain experience
- Reference "Best Practices" regularly
For Reference
- Bookmark articles relevant to your current work
- Use case studies for project planning
- Check specialized topics when needed
For Sharing
- Share articles with team members
- Use in training and onboarding
- Reference in documentation
Contributing Articles
Have you written about AI-assisted AL development?
We'd love to include your content!
Submission Guidelines:
- Must be publicly accessible
- Focused on AL/Business Central development
- High-quality, accurate content
- Original work or properly attributed
How to Submit:
- Review the Contributing guidelines
- Submit a pull request adding your article
- Include: Title, Author, Summary, Key Takeaways, Link
Article Quality Criteria
Listed articles meet these standards:
- ✅ Technically accurate
- ✅ Relevant to AL development
- ✅ Clear and well-written
- ✅ Provides actionable insights
- ✅ Publicly accessible
Updates
Note: This is a living document. As community members publish new content, this page will be updated.
To suggest additions: See Contributing section.
Placeholder Notice
Note to Contributors: This page uses example placeholders for community resources. As actual articles and blog posts about AI-assisted AL development are published by the community, they should be added here with proper attribution and links. Please contribute by submitting pull requests with real resources that meet the quality criteria above.
Related Resources
- Video Tutorials - Visual learning content
- Tools & Extensions - Development utilities
- Discussions - Community conversations