kandil_code 2.1.1

# Kandil Code Advanced Tutorials

This document contains advanced tutorials and use cases for Kandil Code.

## Table of Contents
1. [AI Agent Workflows](#ai-agent-workflows)
2. [Performance Optimization](#performance-optimization)
3. [IDE Integration](#ide-integration)
4. [Mobile & Edge Computing](#mobile--edge-computing)
5. [Multi-Agent Collaboration](#multi-agent-collaboration)

## AI Agent Workflows

### Requirements Engineering Workflow
Build complete software solutions with AI-assisted requirements:

```bash
# Generate initial requirements
kandil agent requirements "Social media platform with real-time chat"

# Generate architectural design based on requirements
kandil agent design "requirements.md"

# Generate code from design
kandil agent code "architecture.uml" rust

# Generate tests for the implemented code
kandil agent test generate src/lib.rs

# Run quality assurance on the complete solution
kandil agent qa full-suite .
```

### Code Review & Refactoring Pipeline
Establish continuous quality assurance:

```bash
# Review changes before committing
/review
# This will automatically review any staged changes

# Refactor code with AI assistance
/refactor src/main.rs

# Generate tests for the refactored code
/test src/main.rs

# Run a full QA check
kandil agent qa full-suite .
```

## Performance Optimization

### Model Selection & Benchmarking
Optimize your AI model performance based on your hardware:

```bash
# Check your system's capabilities
kandil doctor

# List all available models with compatibility
kandil model list --compatible

# Benchmark your current model
kandil model benchmark

# Benchmark all available runtimes
kandil model benchmark --all-runtimes

# Switch to a different model based on benchmarks
kandil model use qwen2.5-coder-7b-q4
```

### Hardware-Aware Development
Configure your development environment based on available hardware:

```bash
# Detect system capabilities
kandil linux doctor    # On Linux
kandil macos doctor    # On macOS  
kandil windows doctor  # On Windows

# Auto-configure based on hardware
kandil auto-config
```

## IDE Integration

### LSP (Language Server Protocol) Integration
Enable real-time IDE support:

```bash
# Start LSP server for your project
kandil ide sync

# The LSP server will provide:
# - Real-time syntax checking
# - Code completion
# - Go-to-definition
# - Find references
# - Rename refactoring
```

### Git Integration
Seamlessly integrate with Git workflows:

```bash
# Automatically generate commit messages
/commit

# Review staged changes
/review

# Generate tests for staged changes
/test

# Check project status
kandil projects info
```

## Mobile & Edge Computing

### Mobile Device Sync
Sync your development environment to mobile devices:

```bash
# Create iOS sync bundle
kandil mobile ios-sync

# Create Android sync bundle
kandil mobile android-sync

# Create edge snapshot for IoT devices
kandil mobile edge-snapshot
```

### Remote Development
Develop remotely with push notifications:

```bash
# Long-running tasks will send mobile notifications
kandil build --release  # Will notify when complete

# Approve tasks remotely
kandil mobile approvals  # Check for pending approvals
```

## Multi-Agent Collaboration

### Cross-Role Simulations
Simulate multiple roles collaborating on a project:

```bash
# Start a collaborative session
kandil collaboration start

# In one terminal: Architect role
kandil simulate architect review "architecture.md"

# In another terminal: Developer role  
kandil simulate developer implement "feature-spec.md"

# Both agents can collaborate in real-time
```

### DevOps Simulation
Simulate DevOps workflows:

```bash
# Generate CI/CD pipeline
kandil agent devops pipeline rust

# Generate infrastructure as code
kandil agent devops terraform "aws"

# Run incident response drill
kandil simulate devops drill "service-outage"
```

## Professional Scenarios

### Scrum Simulation
Run complete Scrum ceremonies:

```bash
# Plan a sprint
kandil simulate scrum plan "feature-backlog" 2 5

# Run retrospective after sprint
kandil simulate scrum retro 5

# Conduct daily standup
kandil simulate scrum ceremony "daily_scrum" "dev-team"
```

### Security & Ethics Review
Automatically assess security and ethical considerations:

```bash
# Run security scan
kandil agent advanced security "src/main.rs" "banking-app"

# Run ethics check
kandil agent advanced security "src/main.rs" "social-media-app"
```

### Internationalization (i18n)
Support multi-language development:

```bash
# Audit internationalization
kandil agent advanced i18n audit "src/"

# Translate content
kandil agent advanced i18n translate "Hello World" "fr" "en"

# Review translations
kandil agent advanced i18n review "Bonjour le monde" "fr" "en"
```

## Advanced CLI Techniques

### Command Pipelines
Chain commands together for complex workflows:

```bash
# Example: Create, test, and review in one pipeline
kandil create rust api-project && cd api-project && /test && /review
```

### Batch Operations
Perform operations on multiple files:

```bash
# Generate tests for all Rust files in a directory
for file in src/*.rs; do /test "$file"; done

# Review all modified files
git diff --name-only | xargs -I {} /review {}
```

## Troubleshooting

### Common Issues
- **Model not responding**: Run `kandil doctor` to diagnose
- **Slow performance**: Try `kandil model benchmark` and switch to faster model
- **Connection issues**: Check `kandil config list-keys` for API key validity

### Diagnostic Commands
```bash
# Run comprehensive system check
kandil doctor

# Check specific components
kandil model verify qwen2.5-coder-7b-q4
kandil config validate
kandil projects sync
```

These advanced tutorials showcase the powerful AI-assisted development capabilities of Kandil Code. Experiment with different workflows to find the ones that work best for your development process!