I’ve used spicy auto-complete, as well as agents running in my IDE, in my CLI, or on GitHub’s server-side. I’ve been experimenting enough with LLM/AI-driven programming to have an opinion on it. And it kind of sucks.
I’m glad you found something that works for you but giving ai control over a git workflow sounds like a catastrophy waiting to happen, how do you ensure it doesn’t do something stupid?
interesting. what do you use as the model and how is that config set up? I’m not disinterested in trying it I just don’t know much about using it for workflows, is there an article you’d recommend?
You read the commits before pushing, and test before committing. I also find it helpful to have a reference for any dev tickets you have in your git tracker
I’m glad you found something that works for you but giving ai control over a git workflow sounds like a catastrophy waiting to happen, how do you ensure it doesn’t do something stupid?
You just whitelisted commands. It can’t do anything destructive
interesting. what do you use as the model and how is that config set up? I’m not disinterested in trying it I just don’t know much about using it for workflows, is there an article you’d recommend?
I just use Cursor. Nice vscode IDE.
But tog can also use n8n etc to interface with git in a more automated manner
You read the commits before pushing, and test before committing. I also find it helpful to have a reference for any dev tickets you have in your git tracker