As a developer, I’m sure you’ve found yourself in a situation where you need to write scripts to collect and analyze data for various projects. It’s a tedious task, especially when you need to be careful about exceptions, errors, and folder names. But what if I told you there’s a way to make this process easier with the help of generative AI?
I’m not a fan of ‘vibe coding’ myself, but I understand the need for efficient data gathering. That’s why I’m excited about the possibility of using large language models (LLMs) to write scripts for me. Imagine being able to ask an AI to write a script that opens up thousands of files, parses them for specific information, and even draws a graph for you. It sounds like a dream come true.
The current limitation is that LLMs like ChatGPT need to know the folder structure and examine the files to identify potential issues. But what if we could develop a system that can do all of this for us, without requiring us to roll up our sleeves? It would save us so much time and energy, allowing us to focus on more important tasks.
The idea of ‘vibe data gathering’ is intriguing, and I believe it has the potential to revolutionize the way we approach data analysis. It’s time to explore the possibilities of generative AI in streamlining our workflow and making our lives easier.