function-class-generator

Function/Class Generator

Transform formal specifications, design descriptions, and requirements into complete, well-structured, production-ready code. Generates functions, classes, interfaces, and data structures with proper error handling, documentation, and tests.

Core Capabilities

1. Specification Parsing

Understand specifications from multiple sources:

• Type signatures - Function signatures with input/output types
• Formal specifications - Pre/postconditions, invariants, contracts
• API documentation - OpenAPI, Swagger, JSON Schema
• UML diagrams - Class diagrams, sequence diagrams
• Natural language - Requirements and design descriptions
• Interface definitions - Protocol buffers, GraphQL schemas

2. Code Generation

Create complete implementations:

• Functions - Standalone functions with logic and validation
• Classes - Full class definitions with methods and properties
• Interfaces/Protocols - Abstract definitions and contracts
• Data structures - Custom types, enums, unions
• Error handling - Exceptions, error types, validation
• Documentation - Docstrings, comments, type hints

3. Best Practices Integration

Apply language-specific patterns:

• Naming conventions - Follow language standards
• Type safety - Use static typing where available
• Error handling - Appropriate exception handling
• Documentation - Clear docstrings and comments
• Testing - Generate unit tests alongside code
• SOLID principles - Single responsibility, open/closed, etc.

4. Validation and Testing

Ensure correctness:

• Type checking - Verify type correctness
• Contract validation - Check pre/postconditions
• Unit tests - Generate test cases
• Edge cases - Handle boundaries and exceptions
• Examples - Provide usage examples

Code Generation Workflow

Step 1: Parse Specification

Extract key information:

From type signature:

# Specification
def calculate_discount(price: float, percentage: float) -> float:
    """Calculate discounted price."""
    pass