docs/specifications/code_generation_pipelines.md

# Code Generation Pipelines Technical Specification

## Overview
Code generation pipelines automate the creation of software artifacts including APIs, tests, documentation, and refactored code. These pipelines leverage AI to understand requirements, apply best practices, and generate production-quality code.

## Pipeline Categories

### 1. API Generation Pipelines

#### 1.1 REST API Generator Pipeline
**ID**: `code-api-rest-generator`  
**Purpose**: Generate complete REST APIs with documentation  
**Complexity**: High  

**Workflow Steps**:
1. **Requirements Analysis** (Claude)
   - Parse API specifications
   - Extract entities and relationships
   - Define endpoints and methods

2. **Schema Design** (Gemini Instructor)
   - Generate data models
   - Create validation schemas
   - Define relationships

3. **Code Generation** (Claude Smart)
   - Generate controllers/handlers
   - Create service layers
   - Implement data access

4. **Test Generation** (Claude)
   - Unit tests for each endpoint
   - Integration test suites
   - Mock data generation

5. **Documentation** (Claude Extract)
   - OpenAPI/Swagger specs
   - README with examples
   - Deployment guides

**Configuration Example**:
```yaml
workflow:
  name: "rest_api_generator"
  description: "Generate complete REST API from specifications"
  
  defaults:
    workspace_dir: "./workspace/api_generation"
    output_dir: "./generated/api"
    
  steps:
    - name: "analyze_requirements"
      type: "claude"
      role: "api_architect"
      prompt_parts:
        - type: "static"
          content: "Analyze these API requirements and extract entities:"
        - type: "file"
          path: "{spec_file}"
      options:
        tools: ["write", "edit"]
        output_format: "json"
        
    - name: "generate_schemas"
      type: "gemini_instructor"
      role: "schema_designer"
      output_schema:
        entities:
          type: "array"
          items:
            name: "string"
            fields: "array"
            relationships: "array"
            
    - name: "generate_api_code"
      type: "claude_smart"
      preset: "development"
      role: "backend_developer"
      prompt_parts:
        - type: "static"
          content: |
            Generate {framework} REST API with:
            - Controllers for each entity
            - Service layer with business logic
            - Repository pattern for data access
            - Input validation
            - Error handling
        - type: "previous_response"
          step: "generate_schemas"
          
    - name: "generate_tests"
      type: "claude"
      role: "test_engineer"
      prompt: "Generate comprehensive test suite"
      options:
        workspace_dir: "./tests"
        
    - name: "generate_docs"
      type: "claude_extract"
      role: "technical_writer"
      extraction_targets:
        - openapi_spec
        - readme
        - examples
```

#### 1.2 GraphQL API Generator Pipeline
**ID**: `code-api-graphql-generator`  
**Purpose**: Create GraphQL APIs with resolvers  
**Complexity**: High  

**Features**:
- Schema-first development
- Resolver generation
- DataLoader implementation
- Subscription support
- Federation compatibility

#### 1.3 gRPC Service Generator Pipeline
**ID**: `code-api-grpc-generator`  
**Purpose**: Generate gRPC services with protobuf  
**Complexity**: Medium  

**Components**:
```yaml
components/prompts/grpc_service.yaml:
  template: |
    Generate gRPC service for {service_name}:
    
    1. Proto file with:
       - Service definitions
       - Message types
       - RPC methods
       
    2. Server implementation:
       - Service handlers
       - Business logic
       - Error handling
       
    3. Client libraries:
       - Language: {client_language}
       - Retry logic
       - Connection pooling
```

### 2. Test Generation Pipelines

#### 2.1 Comprehensive Test Suite Generator
**ID**: `code-test-comprehensive`  
**Purpose**: Generate full test coverage  
**Complexity**: High  

**Test Categories**:
1. **Unit Tests**
   - Function-level tests
   - Edge case coverage
   - Mock generation

2. **Integration Tests**
   - API endpoint tests
   - Database interactions
   - External service mocks

3. **E2E Tests**
   - User flow scenarios
   - Cross-system testing
   - Performance benchmarks

**Implementation Pattern**:
```yaml
steps:
  - name: "analyze_codebase"
    type: "claude"
    role: "test_analyst"
    prompt: "Analyze code structure and identify test requirements"
    options:
      tools: ["read", "glob", "grep"]
      
  - name: "generate_test_plan"
    type: "gemini"
    role: "test_strategist"
    prompt: "Create comprehensive test strategy"
    output_file: "test_plan.md"
    
  - name: "generate_unit_tests"
    type: "claude_batch"
    role: "unit_test_developer"
    batch_config:
      files_per_batch: 5
      output_pattern: "tests/unit/{filename}_test.{ext}"
      
  - name: "generate_integration_tests"
    type: "claude"
    role: "integration_tester"
    prompt: "Generate integration test suite"
    
  - name: "generate_e2e_tests"
    type: "claude_smart"
    preset: "development"
    role: "e2e_tester"
    prompt: "Create end-to-end test scenarios"
```

#### 2.2 Property-Based Test Generator
**ID**: `code-test-property-based`  
**Purpose**: Generate property-based tests  
**Complexity**: Medium  

**Features**:
- Property identification
- Generator functions
- Shrinking strategies
- Invariant testing

#### 2.3 Mutation Test Generator
**ID**: `code-test-mutation`  
**Purpose**: Create mutation testing suites  
**Complexity**: Medium  

**Mutation Strategies**:
- Statement mutations
- Value mutations
- Decision mutations
- Coverage analysis

### 3. Documentation Generation Pipelines

#### 3.1 API Documentation Generator
**ID**: `code-docs-api`  
**Purpose**: Generate comprehensive API documentation  
**Complexity**: Medium  

**Documentation Types**:
1. **Reference Documentation**
   - Endpoint descriptions
   - Parameter details
   - Response schemas
   - Error codes

2. **Tutorial Documentation**
   - Getting started guides
   - Authentication flows
   - Common use cases
   - Best practices

3. **Interactive Documentation**
   - Swagger UI setup
   - Postman collections
   - Code examples
   - Try-it-out features

**Workflow Example**:
```yaml
steps:
  - name: "extract_api_info"
    type: "claude_extract"
    role: "api_analyzer"
    extraction_config:
      targets:
        - endpoints
        - parameters
        - responses
        - authentication
        
  - name: "generate_openapi"
    type: "gemini_instructor"
    role: "openapi_generator"
    output_schema:
      openapi: "3.0.0"
      info: "object"
      paths: "object"
      components: "object"
      
  - name: "generate_guides"
    type: "claude_session"
    role: "technical_writer"
    session_tasks:
      - quick_start_guide
      - authentication_guide
      - best_practices
      - troubleshooting
```

#### 3.2 Code Documentation Generator
**ID**: `code-docs-inline`  
**Purpose**: Generate inline code documentation  
**Complexity**: Low  

**Documentation Elements**:
- Function docstrings
- Class documentation
- Module overviews
- Type annotations

#### 3.3 Architecture Documentation Generator
**ID**: `code-docs-architecture`  
**Purpose**: Generate system architecture docs  
**Complexity**: High  

**Documentation Sections**:
- System overview
- Component diagrams
- Sequence diagrams
- Deployment architecture
- Decision records

### 4. Refactoring Pipelines

#### 4.1 Intelligent Code Refactoring Pipeline
**ID**: `code-refactor-intelligent`  
**Purpose**: Automated code improvement  
**Complexity**: High  

**Refactoring Types**:
1. **Structural Refactoring**
   - Extract methods/classes
   - Inline redundant code
   - Move functionality
   - Rename for clarity

2. **Performance Refactoring**
   - Algorithm optimization
   - Caching implementation
   - Query optimization
   - Memory efficiency

3. **Pattern Implementation**
   - Design pattern application
   - SOLID principles
   - DRY enforcement
   - Code organization

**Implementation Approach**:
```yaml
steps:
  - name: "code_analysis"
    type: "claude"
    role: "code_analyst"
    prompt: "Analyze code for refactoring opportunities"
    options:
      tools: ["read", "grep", "glob"]
      
  - name: "identify_patterns"
    type: "gemini"
    role: "pattern_detector"
    gemini_functions:
      - name: "detect_code_smells"
      - name: "suggest_patterns"
      - name: "calculate_complexity"
      
  - name: "plan_refactoring"
    type: "claude_smart"
    preset: "analysis"
    role: "refactoring_planner"
    prompt: "Create detailed refactoring plan"
    
  - name: "execute_refactoring"
    type: "claude_robust"
    role: "refactoring_engineer"
    error_handling:
      syntax_errors: "rollback"
      test_failures: "iterate"
    options:
      tools: ["edit", "multiedit", "write"]
      
  - name: "verify_behavior"
    type: "claude"
    role: "test_runner"
    prompt: "Run tests to verify behavior preservation"
    options:
      tools: ["bash"]
```

#### 4.2 Legacy Code Modernization Pipeline
**ID**: `code-refactor-modernize`  
**Purpose**: Update legacy codebases  
**Complexity**: High  

**Modernization Aspects**:
- Language version updates
- Framework migrations
- Dependency updates
- Security improvements

#### 4.3 Code Style Standardization Pipeline
**ID**: `code-refactor-style`  
**Purpose**: Enforce consistent code style  
**Complexity**: Low  

**Style Elements**:
- Formatting rules
- Naming conventions
- Import organization
- Comment standards

## Reusable Components

### Code Analysis Components
```yaml
# components/steps/analysis/code_analyzer.yaml
component:
  id: "code-analyzer"
  type: "step"
  
  analysis_types:
    - complexity_metrics
    - dependency_analysis
    - dead_code_detection
    - security_vulnerabilities
    - performance_bottlenecks
    
  outputs:
    report_format: ["json", "markdown", "html"]
    metrics: ["cyclomatic", "cognitive", "halstead"]
```

### Code Generation Templates
```yaml
# components/prompts/code/api_controller.yaml
component:
  id: "api-controller-template"
  type: "prompt"
  
  variables:
    - entity_name
    - operations
    - validation_rules
    - auth_requirements
    
  template: |
    Generate {language} REST controller for {entity_name}:
    
    Operations: {operations}
    
    Requirements:
    - Input validation: {validation_rules}
    - Authentication: {auth_requirements}
    - Error handling with proper status codes
    - Logging for debugging
    - OpenAPI annotations
```

### Test Generation Functions
```yaml
# components/functions/test_generation.yaml
functions:
  - name: "generate_test_cases"
    description: "Generate test cases from code"
    parameters:
      code_file: "string"
      coverage_target: "number"
      test_types: "array"
      
  - name: "generate_mocks"
    description: "Create mock objects"
    parameters:
      dependencies: "array"
      mock_framework: "string"
```

## Quality Assurance

### 1. Code Quality Checks
```yaml
quality_gates:
  generated_code:
    - syntax_valid: true
    - tests_pass: true
    - coverage: ">= 80%"
    - linting_errors: 0
    - security_issues: 0
    
  documentation:
    - completeness: ">= 95%"
    - examples_provided: true
    - links_valid: true
```

### 2. Review Process
- Automated code review
- Style guide compliance
- Best practice verification
- Security scanning

## Performance Optimization

### 1. Generation Strategies
- Template caching
- Incremental generation
- Parallel processing
- Smart batching

### 2. Resource Management
- Token optimization
- Memory efficiency
- Rate limit handling
- Cost tracking

## Integration Patterns

### 1. Version Control Integration
```yaml
vcs_integration:
  pre_generation:
    - branch_creation
    - conflict_check
    
  post_generation:
    - commit_changes
    - create_pr
    - run_ci_checks
```

### 2. CI/CD Integration
- Automated testing
- Code quality gates
- Deployment triggers
- Monitoring setup

### 3. IDE Integration
- Code completion
- Inline suggestions
- Refactoring tools
- Documentation hover

## Best Practices

1. **Iterative Generation**: Build incrementally
2. **Human Review**: Always review generated code
3. **Test First**: Generate tests before code
4. **Documentation**: Keep docs in sync
5. **Version Control**: Track all changes
6. **Security First**: Scan for vulnerabilities

## Advanced Features

### 1. Context-Aware Generation
- Project structure understanding
- Coding standard detection
- Framework convention following

### 2. Learning from Feedback
- Code review incorporation
- Pattern learning
- Style adaptation

### 3. Multi-Language Support
- Cross-language generation
- Language-specific optimizations
- Framework expertise

## Monitoring and Metrics

### 1. Generation Metrics
- Lines of code generated
- Test coverage achieved
- Documentation completeness
- Generation time
- Token usage

### 2. Quality Metrics
- Code complexity scores
- Bug detection rate
- Performance benchmarks
- Security scan results

## Future Enhancements

1. **AI Code Review**: Automated PR reviews
2. **Predictive Refactoring**: Proactive improvements
3. **Architecture Generation**: Full system design
4. **Performance Optimization**: AI-driven tuning
5. **Security Hardening**: Automated security fixes