Streamlining Data Gathering with AI-Powered Shell Interfaces

Streamlining Data Gathering with AI-Powered Shell Interfaces

Hey there, fellow data enthusiasts! I totally get it – writing scripts and parsers to collect and analyze data in a shell environment can be a real pain. You need to be careful about exceptions, errors, folder names, and so on. It’s like, I get it, vibe coding is a thing, but sometimes I just want to focus on the bigger picture.

That’s why I’ve been wondering, is there a way to do ‘vibe data gathering’ where I can ask some LLM (large language model) to write me a script that does a number of things, like opening up a couple thousand files that fit various properties in various folders, parsing them for specific information, and then drawing a graph? It sounds like a dream come true, right?

ChatGPT can already do some of this, but it needs to know the folder structure and examine the files to see what issues there are in collecting this information. I’m talking about taking it to the next level – an AI-powered shell interface that can help me collect and process data without having to roll up my sleeves.

Imagine being able to ask your AI assistant, ‘Hey, can you collect all the files from this folder and its subfolders that have a specific keyword in their name, parse them for this specific data, and then create a graph to visualize the results?’ And just like that, the AI does all the heavy lifting for you.

It’s not just about saving time; it’s about being able to focus on the insights and the big picture. So, is this possible? Are there any tools or platforms out there that can help me achieve this ‘vibe data gathering’ dream?

Let me know in the comments if you have any ideas or suggestions!

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