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/GettingStarted/what-is-agentic-coding.md

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+---
+title: "What is Agentic Coding?"
+linkTitle: "What is Agentic Coding"
+weight: 1
+description: >
+  Understanding AI-powered coding assistance and how it transforms development
+---
+
+## Overview
+
+**Agentic coding** is a development approach where you work collaboratively with AI-powered assistants (agents) that can understand context, generate code, provide suggestions, and help maintain your codebase. Unlike simple code completion tools, these agents can:
+
+- Understand natural language instructions
+- Analyze existing code and context
+- Generate complete implementations
+- Refactor and improve code
+- Explain complex code segments
+- Assist with debugging and problem-solving
+
+## How It Works
+
+AI coding assistants work by:
+
+1. **Understanding Context**: The agent analyzes your workspace, open files, and the surrounding code to understand what you're working on
+2. **Processing Instructions**: You provide instructions in natural language (or through inline comments)
+3. **Generating Solutions**: The agent creates code, documentation, or suggestions based on your needs
+4. **Iterative Refinement**: You review, provide feedback, and the agent adjusts the output
+
+## Key Capabilities for AL Development
+
+### Code Generation
+Generate AL code from natural language descriptions:
+- Complete procedures and functions
+- Table extensions and page extensions
+- API pages and queries
+- Event subscribers
+- Test code
+
+### Code Understanding
+Get help understanding existing code:
+- Explanations of complex logic
+- Documentation of dependencies
+- Impact analysis of changes
+
+### Code Improvement
+Enhance existing code:
+- Refactoring for better performance
+- Applying AL best practices
+- Modernizing legacy code
+- Adding error handling
+
+### Documentation
+Automatically create and maintain:
+- XML documentation comments
+- README files
+- API documentation
+- Code comments
+
+## Benefits for AL Developers
+
+### Faster Development
+- Quickly scaffold new objects and extensions
+- Implement common patterns without repetitive typing
+- Generate boilerplate code instantly
+
+### Higher Quality
+- Consistent application of best practices
+- Fewer common mistakes
+- Better code organization
+
+### Learning Accelerator
+- Learn AL patterns through examples
+- Understand Business Central APIs
+- Discover best practices in context
+
+### Reduced Cognitive Load
+- Focus on business logic, not syntax
+- Less context switching for documentation lookups
+- Automated handling of repetitive tasks
+
+## The Human-AI Partnership
+
+It's important to understand that agentic coding is a **collaborative** approach:
+
+### You Bring:
+- **Domain Knowledge**: Understanding of business requirements and Business Central functionality
+- **Decision Making**: Architectural choices and business logic decisions
+- **Quality Control**: Review and validation of generated code
+- **Context**: Specific requirements, constraints, and organizational standards
+
+### The AI Brings:
+- **Speed**: Rapid code generation and transformation
+- **Consistency**: Adherence to patterns and best practices
+- **Breadth**: Knowledge of many AL patterns and APIs
+- **Assistance**: Help with routine tasks and documentation
+
+## Common Use Cases
+
+### Daily Development
+- Creating new tables, pages, and codeunits
+- Implementing event subscribers
+- Writing test code
+- Adding XML documentation
+
+### Code Maintenance
+- Refactoring existing code
+- Adding telemetry to extensions
+- Improving error handling
+- Updating deprecated APIs
+
+### Code Review
+- Identifying potential issues
+- Suggesting improvements
+- Checking adherence to standards
+- Finding security concerns
+
+### Documentation
+- Generating README files
+- Creating API documentation
+- Writing user guides
+- Documenting complex algorithms
+
+## Next Steps
+
+Now that you understand what agentic coding is, learn how to:
+- [Set up your environment](../setup) for AI assistance
+- [Write effective prompts](../effective-prompting) to get better results
+- Follow [best practices](../best-practices) for AI-assisted development