Add comprehensive agentic coding documentation

- 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

content/docs/agentic-coding/GettingMore/_index.md

@@ -0,0 +1,47 @@
+---
+title: "Getting More"
+linkTitle: "Getting More"
+weight: 20
+description: >
+  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](code-review)** - Use AI to review code for quality, performance, and best practices
+- **[Generating Documentation](documentation)** - Automatically create and maintain documentation for your AL code
+- **[Adding Telemetry](telemetry)** - Instrument your extensions with Application Insights telemetry
+- **[Refactoring Legacy Code](refactoring)** - Modernize and improve existing AL code
+- **[Writing Tests](testing)** - 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](../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](../../contributing) section for guidelines.