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:

Requirements Analysis (Claude)
- Parse API specifications
- Extract entities and relationships
- Define endpoints and methods
Schema Design (Gemini Instructor)
- Generate data models
- Create validation schemas
- Define relationships
Code Generation (Claude Smart)
- Generate controllers/handlers
- Create service layers
- Implement data access
Test Generation (Claude)
- Unit tests for each endpoint
- Integration test suites
- Mock data generation
Documentation (Claude Extract)
- OpenAPI/Swagger specs
- README with examples
- Deployment guides

Configuration Example:

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:

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:

Unit Tests
- Function-level tests
- Edge case coverage
- Mock generation
Integration Tests
- API endpoint tests
- Database interactions
- External service mocks
E2E Tests
- User flow scenarios
- Cross-system testing
- Performance benchmarks

Implementation Pattern:

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:

Reference Documentation
- Endpoint descriptions
- Parameter details
- Response schemas
- Error codes
Tutorial Documentation
- Getting started guides
- Authentication flows
- Common use cases
- Best practices
Interactive Documentation
- Swagger UI setup
- Postman collections
- Code examples
- Try-it-out features

Workflow Example:

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:

Structural Refactoring
- Extract methods/classes
- Inline redundant code
- Move functionality
- Rename for clarity
Performance Refactoring
- Algorithm optimization
- Caching implementation
- Query optimization
- Memory efficiency
Pattern Implementation
- Design pattern application
- SOLID principles
- DRY enforcement
- Code organization

Implementation Approach:

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

# 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

# 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

# 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

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

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

Iterative Generation: Build incrementally
Human Review: Always review generated code
Test First: Generate tests before code
Documentation: Keep docs in sync
Version Control: Track all changes
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

AI Code Review: Automated PR reviews
Predictive Refactoring: Proactive improvements
Architecture Generation: Full system design
Performance Optimization: AI-driven tuning
Security Hardening: Automated security fixes

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