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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

#31

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 wonder the same. The answer I usually get from people who do manage is that they don't look at the code – or at least not in detail.

Personally, I always end up tweaking something the agent produced. I wonder if I should let go of that control...

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

#32

Cline was also working on something like this: https://github.com/cline/kanban

I thought it was the same product. Have any of you used either of them?

Gave it a brief shot, felt a bit early on, went back to Claude. I feel like the Kanban board that would do it best would just allow easily bringing up Claude Code sessions with all user input etc.

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

#33

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.

A lot of that agent activity is combing over what was previously made, forcing constraints upon it so you have a reasonable expectation of what ends up on your desk for review.

For me, strong file structure helps as well. Reviewing a 3,000 line file it just created is abysmal. I wouldn't accept that from human nor machine :) Multiple files in the right places helps reduce cognitive load.

Sometimes I'll also review with the agent interactively. What is the most important file to review first, etc?

I like to stage changes into a "LGTM" pile. Then if I want changes, I'll have the agent "review unstaged changes - I want something different done here."

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

#34

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.

They most likely don’t review it ;)

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

#35
post #4

Just post the GitHub page if it’s open-source. It’s great you have a domain name, but if your website is going to look the same as every other SaaS product designed by Claude it’s really hard to look past that and look at the novelty or benefits of the product.

These pages do look good. But they all just look the same. And I'm getting bored of them.

I open such a page and I immediately know it was Claude that produced it (probably end-to-end). Not that there's anything wrong with that, but it lacks soul… and that makes me kind of sad.

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

#36

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 wonder the same. The answer I usually get from people who do manage is that they don't look at the code – or at least not in detail. Personally, I always end up tweaking something the agent produced. I wonder if I should let go of that control...

yeah

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

#37

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 wonder the same. The answer I usually get from people who do manage is that they don't look at the code – or at least not in detail. Personally, I always end up tweaking something the agent produced. I wonder if I should let go of that control...

Even the newest models, like GPT 5.5, only deliver what I want nine out of ten times. If I didn't catch the remaining 10% of misguided garbage by manually reviewing every change, it would add up really quickly.

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

#38
Personally, this is somewhat close to what I want.

I want to have a fullblown cursor instance/window for each task I have, and a central Hub that manages spawning those instances, setting up the worktrees, etc.

Cursor seems to pretty much have all the available tools there already (it can already spawn agents to their own worktrees with proper setup scripts, for example). I don't get why they don't do it and instead insist on a buggy and confusing agents experience.

Unfortunately, most attempts at this seem to assume I want a model where "1 task = 1 agent = 1 chat", whereas what I really want is "1 task = 1 worktree = 1 full IDE around it".

With the full IDE I can have multiple agents/conversations, review code thoroughly and also chip in once in a while. I can have multiple models (that I pick) in multiple chats, iterate forwards, backwards, you name it.

I really don't understand why there seems to be this idea that "parallel agents" should live in their own little restricted flow that's limited to a tiny chat interface. I want the full flow for every agent!

I was hoping cursor would do this, but they really seem to be going the direction of turning their absolutely terrible web agents UI (where you can't even CHANGE THE MODEL!!!!) into a desktop thing. Sad, as I've been an Ultra paying customer and might have to leave soon with the direction they're heading.

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

#39

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.

Lots of people are working on repetitive simple projects like the Nth website whatever or things like that, boring stuff. This LLM era is already a very big deal for these people.

Personally somehow I am working on stuff that has like 25% not trivial stuff and that is enough to have the same experience as you have.

But also lots of people just don't care about quality and they might be right with their customers/audience. In these cases when someone catches one, an agent is going to iterate on it and make it (seemingly) go away, bandage applied, who cares again. This has a market, I am sure. Lots of programmer folks are just as bad.

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