Implement Comprehensive Error Handling and Data Validation Across All Modules

[tawada]

As a programmer with a critical eye on this expansive codebase, one issue that stands out is the lack of comprehensive error handling and validation mechanisms, especially in the interaction points with external APIs or user input. While the use of try-except blocks and custom exception classes in some modules such as services/github/__init__.py and services/llm/__init__.py demonstrates an awareness of the need for handling operational anomalies, the overall strategy for managing and validating data flows through the system, particularly from user inputs in main.py and external sources like GitHub issues or LLM responses, appears fragmented.

For example, when processing commands and interactions in main.py, critical operations like argument parsing (parse_arguments) rely on exceptions for control flow, which is a notable practice. However, validation beyond the command line is less visible, leaving potential for unchecked assumptions about the state and integrity of data used throughout the application. This brings about risks when dealing with dynamic content from GitHub issues or LLM-generated code fragments, where unexpected formats or content could lead to erroneous behavior if not properly sanitized and validated.

Incorporating a more robust and centralized error handling and validation mechanism could mitigate these risks, ensuring that unexpected or invalid data does not compromise the application's functionality. By doing so, the resilience and reliability of the tool in handling a wide range of scenarios and inputs could be significantly enhanced, aligning with best practices in secure and resilient software design.

[tawada]

The following changes have been completed.

Commit Message (#60)

main.py Before:

def parse_arguments(args=None):

After:

def parse_arguments(args=None):
    """Parse command line arguments and validate them"""
    try: