Choose variable, method, class, and parameter names that clearly communicate their purpose and avoid ambiguity. Names should be self-documenting and specific rather than generic or vague. **Key principles:** - **Be specific about purpose**: Use `max_parse_retries` instead of `adapter_retry_count`, or `should_document_method` instead of `is_documented_method` - **Avoid generic names**: Replace vague names like `InputField` or `enumerate_fields` with descriptive ones like `UserProfile` or `get_field_description_string` - **Use meaningful variable names**: Instead of confusing names like `input_opt_right` and `input_opt_left`, use clear names like `input1` and `input2` with explanatory comments - **Be consistent across functions**: If using `train_method` in one function, use it consistently rather than switching to `method` elsewhere **Example:** ```python # Poor naming - vague and confusing def enumerate_fields(fields: dict) -> str: adapter_retry_count = 0 input_opt_right = "test" # Better naming - descriptive and clear def get_field_description_string(fields: dict) -> str: max_parse_retries = 0 user_input = "test" ``` This approach makes code more maintainable and reduces the cognitive load for other developers reading your code.