Ran Vibe Kanban on a side repo over the weekend it’s slick, but I tripped on one thing: all the agents write into the same checkout, so parallel cards can clobber each other when they touch the same files. I’ve been spinning up a quick `git worktree` per card as a stop gap.

Outside of that, really enjoying the flow.

BTW, if anyone’s juggling multiple agents and wants a “quarantine” layer before changes hit Git, I’m hacking on SAV (Shadow VCS)open source, risk scores every commit and keeps them sandboxed until you approve. Happy to swap notes. https://github.com/AKIFQ/sav

Nice, I vote for merging it :).

It really doesn't hurt to be honest about this and ask up-front. This is clear enough and benign enough that I'd actually be happy to opt-in.

This is really cool. I used Vibe Kanban with Amp to update some of our docs and UI components, and it was great.

Hmm, analytics appear to default to enabled: https://github.com/BloopAI/vibe-kanban/blob/609f9c4f9e989b59...

It is harvesting email addresses and github usernames: https://github.com/BloopAI/vibe-kanban/blob/609f9c4f9e989b59...

Then it seems to track every time you start/finish/merge/attempt a task, and every time you run a dev server. Including what executors you are using (I think this means "claude code" or the like), whether attempts succeeded or not and their exit codes, and various booleans like whether or not a project is an existing one, or whether or not you've set up scripts to run with it.

This really strikes me as something that should be, must legally be in many jurisdictions, opt in.

If you use gitlab, you can use the command line "glab" tool to have agents work from the built in kanban. They can open and close tasks, start MRs off of them etc. It's not as integrated as this tool, but works well with a mix of humans and robots.

This is interesting. I’m using Claude Code a fair bit and have found writing specs to be more effective than promoting and this feels closer to that. I can see the appeal of this for simple tasks now and maybe increasingly bigger tasks as models get better.

I definitely don't feel like the models are reliable enough that I'd be more productive running them in parallel like this yet, but I can see a future where I want this.

Their reliability probably varies a lot depending on what you are using them for - so maybe I'm just using them in more difficult (for claude) domains.

Do you think you will keep it free or can you see a business model developing around it? If so, what do you think it would be? / How would you split paid tiers vs free users? Not a big deal to me...!! But I'm curious how one might commercialise these types of free/open source projects