Implementation & Development Patterns

Practical implementation patterns and development practices for AI coding assistants.

Getting Started

• Initialization Process - Setting up AI assistants
• Execution Flow in Detail - Understanding request processing
• Real World Examples - Practical implementation cases

Framework Comparisons

• Claude Code vs Anon Kode - Tool comparison
• Framework Selection Guide - Choosing the right tools
• Framework Wars Analysis - Objective framework evaluation

Advanced Implementation

• Building Your Own AMP - Creating custom AI proxies
• System Prompts and Model Settings - Configuration optimization
• Feature Flag Integration - Progressive rollout strategies
• Migration Strategies - Transitioning existing systems

Implementation Best Practices

Code Generation

• Template-based generation
• Context-aware completions
• Style consistency enforcement
• Error handling patterns

Integration Patterns

• API wrapper design
• SDK development
• Plugin architectures
• Extension systems

Testing Strategies

• Unit testing AI outputs
• Integration testing with mocks
• End-to-end validation
• Performance benchmarking