Vibing on the fly by having an LLM write functions during runtime (github.com)

A new Python decorator, @ai_implement, enables developers to dynamically generate and execute functions at runtime using OpenAI's GPT-5-mini model. Instead of manually coding functions, users can define an empty function with a descriptive name, and the decorator automatically prompts the LLM to implement the function body when called. This approach significantly enhances efficiency, allowing for immediate execution of LLM-generated code while also supporting type annotations and docstrings for better control. This innovation is particularly significant for the AI/ML community as it streamlines the coding process, significantly reducing development time and enabling more interactive programming environments. Key features include the ability to cache function implementations between calls, setting retry limits for generating function bodies, and handling various parameter details. However, caution is advised as the implementation involves executing raw LLM-generated code directly, which carries inherent risks. Overall, this development represents a bold step towards integrating AI directly into programming workflows, fostering creativity and exploration in coding.