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Open source Kanban desktop app that runs parallel agents on every card

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Re: Open source Kanban desktop app that runs parallel agents on every card

#81

I 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.

Yeah the multi-agent workflow just hasn't been satisfying to me. The more chats I try to run at once, the more I got lost and overwhelmed. I trust Claude to implement a plan correctly after I've reviewed it, but if I don't review all of the plans, I will miss some small detail that it misunderstood and it'll be a pain to fix later.

I'm like a 1-2 chats at a time kind of guy. I just don't see how I could keep my exact vision for the project otherwise.

Re: Open source Kanban desktop app that runs parallel agents on every card

#82

I 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.

Those people don't review.

Re: Open source Kanban desktop app that runs parallel agents on every card

#84
post #76

Earlier 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.

People seem to have rosy glasses about how great and vetted code was before AI coding took off the way it has, it was not great.

Re: Open source Kanban desktop app that runs parallel agents on every card

#88

I 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.

I usually aim to have Claude end up with about 500 lines of code after a night of work. Most of what it's doing is experimenting with many different approaches, summarizing them, and then giving me a relatively small diff to review and modify.

This is the way to go. I usually play with relatively stable software where the improvements are either performance or very small niche features that are built on top of already existing ones. Big changes are undesirable by both the others working on it and its users.

Re: Open source Kanban desktop app that runs parallel agents on every card

#89
post #50

Earlier quoted context omitted.

Very true. Last year I at least glanced at every line of AI generated code. Now if some AI makes a 10k line program for some one-off tasks, I run the program, glance only over the output, and move on.

Which one-off tasks need 10k lines of code?

One off web app for scrubbing through some data, that, once done, will never be run again?
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