Bug detection

1. Identify potential bugs in the following code snippet [code_snippet].
2. Identify potential security vulnerabilities in the following API [api_name].
3. Identify potential performance issues in the following program [program_name].
4. Identify potential errors in the following algorithm [algorithm_name].
5. Identify potential data quality issues in the following dataset [dataset_name].
6. Identify potential compatibility issues in the following library [library_name].
7. Identify potential scalability issues in the following system architecture [architecture_name].
8. Identify potential usability issues in the following user interface [ui_name].
9. Identify potential maintenance issues in the following codebase [codebase_name].
10. Identify potential versioning issues in the following program [program_name].

Code generation

1. Generate code to implement the following function [function_name].
2. Generate code to preprocess the following dataset [dataset_name].
3. Generate code to perform the following machine learning task [task_name].
4. Generate code to scrape the following website [website_url].
5. Generate code to optimize the following algorithm [algorithm_name].
6. Generate code to implement the following system architecture [architecture_name].
7. Generate code to perform the following database query [query_name].