AI Coding Agents

Learn about different AI coding agents and how to use them for AL development

Overview

AI coding agents are intelligent assistants that help you write, review, and improve AL code for Business Central. This section explains the different types of agents available and how to choose the right one for your needs.

What are AI Coding Agents?

AI coding agents are more than simple autocomplete tools. They can:

  • Understand natural language instructions
  • Generate complete code implementations
  • Explain existing code
  • Refactor and improve code quality
  • Help debug issues
  • Provide learning and guidance

Available Agents

Explore detailed information about each AI coding agent:

GitHub Copilot

Microsoft’s AI pair programmer integrated into VS Code.

Best For:

  • Inline code completion as you type
  • Quick code generation
  • Learning AL patterns
  • Teams already using GitHub

Key Features: Real-time suggestions, multi-file context, AL-aware completions


GitHub Copilot Chat

Conversational AI assistant from GitHub with deep VS Code integration.

Best For:

  • Interactive code discussions
  • Code explanations and learning
  • Debugging assistance
  • Complex refactoring tasks

Key Features: Natural language chat, context-aware responses, inline chat


Claude (via API or Claude.ai)

Anthropic’s AI assistant with strong reasoning capabilities.

Best For:

  • Complex problem solving
  • Detailed code analysis
  • Architecture discussions
  • Large codebase understanding

Key Features: Long context window, strong analytical abilities, helpful explanations


Cursor

AI-first code editor built on VS Code with integrated AI assistance.

Best For:

  • All-in-one AI coding environment
  • Teams wanting deep AI integration
  • Multi-model AI access
  • Codebase-wide AI context

Key Features: Multiple AI models, composer mode, codebase indexing, chat + autocomplete


Comparison Matrix

FeatureGitHub CopilotCopilot ChatClaudeCursor
Inline Completion✓✓✓ ExcellentLimitedN/A✓✓✓ Excellent
Chat InterfaceN/A✓✓✓ Excellent✓✓✓ Excellent✓✓✓ Excellent
AL Awareness✓✓ Good✓✓ Good✓ Basic✓✓ Good
Code ExplanationLimited✓✓✓ Excellent✓✓✓ Excellent✓✓✓ Excellent
VS Code Integration✓✓✓ Native✓✓✓ Native✗ Web/API✓✓✓ Fork
Context WindowMediumMedium✓✓✓ Very LargeLarge
Multi-file EditingLimitedLimitedManual✓✓✓ Excellent
Pricing$10-19/moIncludedFree/Pro$20/mo
Team Features✓✓ Good✓✓ GoodLimited✓ Basic

Legend: ✓✓✓ Excellent | ✓✓ Good | ✓ Basic | Limited | ✗ Not Available | N/A Not Applicable

Choosing the Right Agent

For Individual Developers

Just Starting with AI? → Start with GitHub Copilot + Copilot Chat

  • Easy setup
  • Great VS Code integration
  • Good AL support
  • One subscription for both

Want Maximum AI Power? → Try Cursor

  • Multiple AI models
  • Strong codebase understanding
  • All-in-one solution
  • Advanced features

Need Deep Analysis? → Use Claude for complex tasks

  • Long context for large codebases
  • Excellent reasoning
  • Detailed explanations
  • Free tier available

For Teams

Microsoft/GitHub Ecosystem? → GitHub Copilot for Business

  • Centralized management
  • License management
  • Organization policies
  • Familiar tools

Maximum Flexibility? → Cursor for Teams

  • Multiple AI models
  • Strong collaboration
  • Advanced features
  • Modern interface

Hybrid Approach? → Combine tools:

  • GitHub Copilot for daily coding
  • Claude for complex analysis
  • Cursor for specific projects

Using Multiple Agents

Many developers use multiple agents for different tasks:

Daily Coding: GitHub Copilot (inline suggestions) Learning & Debugging: Copilot Chat or Cursor Chat Complex Problems: Claude (detailed analysis) Refactoring: Cursor (multi-file editing)

Example Workflow:

  1. Write code with GitHub Copilot inline suggestions
  2. Ask Copilot Chat to explain complex BC patterns
  3. Use Claude for architecture review of large features
  4. Use Cursor for complex multi-file refactoring

Getting Started

New to AI Coding?

  1. Start Simple: GitHub Copilot
  2. Learn the Basics: Effective Prompting
  3. Try Examples: Getting More
  4. Explore Others: Try Claude or Cursor for comparison

Already Using AI?

Expand Your Toolkit:

  • If using Copilot → Try Cursor for advanced features
  • If using Claude → Add Copilot for inline completion
  • If using Cursor → Use Claude for deep analysis

Common Questions

Can I use multiple agents?

Yes! Many developers use different agents for different tasks. They complement each other well.

Which is best for AL development?

GitHub Copilot has the most AL-specific training, but all agents can be effective with good prompting.

Are these expensive?

Most are $10-20/month for individual use. GitHub Copilot offers free access for students and open source maintainers.

Do I need internet?

Yes, all current AI agents require internet connectivity to function.

Will AI replace AL developers?

No. AI agents are tools to augment your capabilities, not replace your expertise and decision-making.

Privacy & Security

All agents send code to external services. Consider:

  • Review your organization’s AI usage policy
  • Don’t include sensitive data in code
  • Use business/enterprise plans for better controls
  • Understand each tool’s data handling policies

See individual agent pages for specific privacy information.

Learning Path

  1. Read agent pages to understand capabilities
  2. Choose one to start with
  3. Follow setup instructions
  4. Practice with examples from Getting More
  5. Experiment with others as needed

Resources


Questions? Join the discussion at GitHub Discussions


GitHub Copilot Agent

Microsoft’s AI pair programmer for real-time code completion and suggestions

GitHub Copilot Chat Agent

Conversational AI assistant for code explanations, debugging, and interactive development

Claude Agent

Anthropic’s AI assistant with strong reasoning and large context window for AL development

Cursor Agent

AI-first code editor with integrated AI assistance and multi-file editing for AL development


Last modified October 17, 2025: Merge pull request #272 from microsoft/agentic-assistance-hub (2c230e3) by Jeremy Vyska