From Zero to Python Hero: AI-Fueled Coding Secrets Exposed with Gorilla, StarCoder, Copilot, ChatGPT

This blog post discusses the use of various AI coding assistants such as StarCoder, GitHub Copilot, ChatGPT, and Gorilla to help software engineers code faster and more efficiently. The author tested these models using two Python coding questions related to string manipulation and API usage. They found that while none of the models produced perfect code every time, they all provided useful starting points for developers, especially those new to certain APIs or programming languages. The author recommends using GitHub Copilot with ChatGPT on the side for debugging purposes. StarCoder can also be used as an alternative to Copilot but may have higher latency. Gorilla is a newer model that specializes in making API calls, but it is currently limited to Hugging Face APIs only. In conclusion, AI coding assistants are becoming increasingly useful for experienced programmers who want to accelerate their development process while maintaining code readability and efficiency. However, these models should not be relied upon as the sole source of learning how to code, as they are still in their early stages of development.