I don't fully get the negativity here. This seems like a middle ground between quick'n'dirty bash script and a well-crafted Ansible playbook.
Half the time if you want to do something quick'n'dirty in Ansible playbooks you need to use shell anyway..
I participated in a hackathon recently where my deployment process was just a bash script doing scp/ssh to a remote server and it feels like Scotty would fit well to that kind of use-case.
> yt-dlp is running the entire YouTube JS+DOM environment
IIRC they maintain a minimal execution environment that is able to run just the JS needed to pass a few checks but this breaks too often enough that they're planning to make Node.js or another JS interpreter a hard requirement (possibly already happened).
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No telling if this "hack" wasn't really just prompt engineering followed by hallucinations, particularly if the "hacker" was attempting to exfil data via the agent.
It's interesting... Different LLM models seem to have a few sentence structures that they seem to vastly overprefer. GPT seems to love "It's not just X, it's Y", Claude loves "The key insight is..." and Gemini, for me, in every second response, uses the phrase "X is the smoking gun". I hear the smoking gun phrase around 5 times a day at this point.
Half the time if you want to do something quick'n'dirty in Ansible playbooks you need to use shell anyway..
I participated in a hackathon recently where my deployment process was just a bash script doing scp/ssh to a remote server and it feels like Scotty would fit well to that kind of use-case.
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