Isn’t this just vibe kanban? https://github.com/BloopAI/vibe-kanban
Open source Kanban desktop app that runs parallel agents on every card
71–80 of 191 posts
Re: Open source Kanban desktop app that runs parallel agents on every card
#72I keep wondering how people accept a nights worth of agent activity. I feel 30 minutes of planning and 30 minutes of implementation in my solo side project's repo is too big to review. At minute 5, I may ask the AI to redo stuff even as its spitting out code.
Re: Open source Kanban desktop app that runs parallel agents on every card
#73I keep wondering how people accept a nights worth of agent activity. I feel 30 minutes of planning and 30 minutes of implementation in my solo side project's repo is too big to review. At minute 5, I may ask the AI to redo stuff even as its spitting out code.
Re: Open source Kanban desktop app that runs parallel agents on every card
#74Re: Open source Kanban desktop app that runs parallel agents on every card
#75Re: Open source Kanban desktop app that runs parallel agents on every card
#76I keep wondering how people accept a nights worth of agent activity. I feel 30 minutes of planning and 30 minutes of implementation in my solo side project's repo is too big to review. At minute 5, I may ask the AI to redo stuff even as its spitting out code.
Most of the narrative is about how AI is writing all/most code, but I’d wager that the fraction of human reviewed code is approaching zero far faster than anyone is realizing or willing to admit.
Re: Open source Kanban desktop app that runs parallel agents on every card
#77Earlier quoted context omitted.
Which one-off tasks need 10k lines of code?
Calculate the engine power of a 2015 VW polo when travelling 70 mph on a flat road behind a box truck. Draw a chart of drag Vs follow distance. How significant is humidity on the result?
Re: Open source Kanban desktop app that runs parallel agents on every card
#78Re: Open source Kanban desktop app that runs parallel agents on every card
#79Earlier quoted context omitted.
Most of the narrative is about how AI is writing all/most code, but I’d wager that the fraction of human reviewed code is approaching zero far faster than anyone is realizing or willing to admit.
People already barely reviewed code, most of it was imported libraries.