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

https://www.kanbots.dev/

by vitriapp • 2 months ago

263 165 2 months ago

vitriapp2• 2 months ago

Hello folks, sharing my latest open source project, a kanban board with parallel agents. Trying to improve this with more features, I would love your contributions on this repo, with either code contributions or ideas

malfist• 2 months ago

You should check out Stripe's dev blog about minions. Seems directionally similar.

rigonkulous3• 2 months ago

Nice work .. I have had my own agents running kanban on existing Jira projects, categorized by workflow, and it is a pleasure to see your project on HN today. I will for sure enjoy catching up with your work, thanks for sharing it.

cyclopeanutopia2• 2 months ago

I don't understand this.

genxy2• 2 months ago

It looks like a kanban interface to agent orchestration.

cyclopeanutopia2• 2 months ago

Yeah, I still don't get it. What does the kanban interface add here?

wyre2• 2 months ago

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.

fphilipe2• 2 months ago

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.

pbjerkeseth2• 2 months ago

I've built/am building something similar, but I spent the first half of my tech career as a UI/UX designer before becoming a software engineer and I'd _like_ to think it shows, but there is something about designing-in-code with agents that leads to homogenous outputs if you don't spend equal time on visual design as on the technical parts.

I'm a bit anxious about putting myself out there, but I'd be curious if my efforts cross that bar for you or not? https://ouijit.com/ (and the repo is at https://github.com/ouijit/ouijit)

wyre2• 2 months ago

Looks great. I can tell you put a lot of time and energy into making it look good.

I think a lot of the problems with the homogenous outputs of front-end design wouldn't be such a problem if the models naturally make their designs so much simpler, but they are LLM's so they are always going to be overly verbose.

I was curious so I had asked my agent to redesign and recreate your front page for comparison and it gave me this: https://ouijit-redesign.vercel.app

satvikpendem2• 2 months ago

This is basically what Windsurf is doing right [0]? Ultimately all this UI stuff is just window dressing on top of agents.

[0] https://windsurf.com/blog/windsurf-2-0

vitriapp2• 2 months ago

Is windsurf open source?

aavci• 2 months ago

I don’t see a problem here. Do you?

Also, Linear themselves are also working on this.

satvikpendem2• 2 months ago

I never said there was a problem.

gbro3n• 2 months ago

There's a few apps out there that facilitate handing off to agents from kanban boards. I needed something more 'human in the loop', handing off to an agent without good visibility of the change set and opportunity to steer doesn't work for me. https://www.agentkanban.io links a taskboard with github copilot chat in vs code via our extension so we have the benefit of task management and context capture from the chat to the tasks. This gives us all the features of a top harness (vs code) and the task / project management features at the same time.

rigonkulous3• 2 months ago

There's a few apps out there that facilitate handing off to agents from kanban boards.

jira-cli and hermes, for example.

in fact, wiring hermes up to an existing Jira(/other_PM_system) is, well .. fruitful.

rapiz• 2 months ago

fyi https://github.com/multica-ai/multica

mordymoop• 2 months ago

https://github.com/moridinamael/platespinner

diddid• 2 months ago

This is the only one I can tell that easily works with local modals through hermes or pi.

chrisweekly2• 2 months ago

"Local-first, zero servers. Everything lives in .kanbots/ next to your repo: SQLite database, configs, worktrees. No cloud account, no telemetry, no HTTP server. This is the open-source desktop edition."

This is table-stakes for me to consider adoption of a tool like this.

Brainspackle• 2 months ago

what is a table-stake?

idle_zealot• 2 months ago

The minimum required payment to play a gambling game, where the money up for grabs is called "stake". See also "raising the stakes". In context it means the minimum feature set to be considered for adoption.

fmbb• 2 months ago

What is ”a tool like this”?

If AI is agentic I would expect it takes an hour of chatting for any PM to integrate some agent Ralph loop with Jira. Jira or Trello or Linear or Basecamp all have APIs and I guess CLIs any agent can use to talk to them. No developer or SaaS should be needed to make them understand tasks are checked out when you start work and contain instructions and when you are done you move the ticket to DONE.

chrisweekly2• 2 months ago

I didn't say I think this tool makes a ton of sense (let alone for me), just that any tool "like this" -- developed by someone else, which by design might become part of a workflow on which I rely -- has a minimum bar to clear before I'll even consider it.

IanCal• 2 months ago

No developer or SaaS should be needed to make them understand tasks are checked out when you start work and contain instructions and when you are done you move the ticket to DONE.

However jira, trello, linear and basecamp are all SaaS. Then when you create a ticket, what starts the agent? Linear has integrations however that either needs codex/github running things (another SaaS) or you need to do your own agent setup.

This is a replacement for jira/etc for a project, rather than an addon.

desireco423• 2 months ago

From their page, they say they require cloud account login for this to work, even locally which is why I decided not to try it out. Looks cool tbh. But I have quite a few tools that look cool.

rirze3• 2 months ago

I'm confused, I downloaded their repo and ran it and I had the option to continue locally without signing up/in.

block_dagger• 2 months ago

To the website maintainers: https://www.kanbots.dev/comparisons returns a 404

KronisLV2• 2 months ago

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

wahnfrieden• 2 months ago

https://github.com/openai/symphony

draculero• 2 months ago

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

KronisLV2• 2 months ago

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.

sinandrei• 2 months ago

Could this be something running of our a Github kanban board?

rigonkulous3• 2 months ago

Yes, this is like, the best thing ever .. I've generally been doing this, albeit with command-line Jira and a "my workflow is my prompt" philosophy, resulting in a fleet of little kanbans .. and my agents are really, really doing well. They never sleep, eat, etc.

But .. you know something cute? AI makes using Jira fun, again.

speedgoose• 2 months ago

I have got more frustrations than successes when I tried to run agents without supervising them. I believe the technology will get there eventually, but right now I need one IDE per agent and its cumbersome to merge the work.

jms703• 2 months ago

Same. I end up needing agents to clean up after agents.

Guillaume86• 2 months ago

Tangential question for Claude Code subscribers, mid June `claude -p` will move to api pricing (with some "SDK credits" before it kicks in), so headless usage will become 20-30 times more expensive, and all these high level orchestrator tools/workflows depend on it. What the next move for you? How does the OpenAI subscriptions compare? Similar limitations?

meagher• 2 months ago

big opportunity to buy kan.bot

aitchnyu• 2 months ago

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.

fphilipe2• 2 months ago

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...

debabrata_saha• 2 months ago

yeah

InsideOutSanta• 2 months ago

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.

stavros4• 2 months ago

I never look at code. It used to be that it quickly became unmaintainable spaghetti where the agent struggled to make any change at all, but in the past year (and with a three step plan/develop/review workflow), the quality is so good that I basically just don't look at the code any more.

It definitely has fewer bugs than a senior developer, but it really hinges on getting the plan right. 20 minutes of planning and 20 of implementation sounds about right for my workflow as well, just make sure you have GPT as a reviewer. It's very nitpicky and finds lots of bugs.

lanyard-textile• 2 months ago

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."

throw03172019• 2 months ago

They most likely don’t review it ;)

szundi• 2 months ago

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.

d4rkp4ttern2• 2 months ago

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.

londons_explore2• 2 months ago

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.

vasco2• 2 months ago

People already barely reviewed code, most of it was imported libraries.

jatora2• 2 months ago

i admit. agentic coders do not look at the code except by accident. not much point unless you're working on enterprise applications

phil21• 2 months ago

Pretty much. For my home IT projects I have been playing around with various means of implementing agents.

I’ve looked at the outputs here and there - and holy hell would it never pass review if I were trying to make something robust and anti-fragile. But since I can just have AI spit out a fix for the horrific “code” when it breaks in a totally predictable manner it’s just not worth my time to try to actually sit down and get it done right. Or even fight with AI by providing a good specification and design guidelines.

I imagine this is how things are going in the real world, given 30 years of working with various levels of humans. So long as the output is “good enough” it is the extreme minority of folks who care about much else. And that’s for mid-level to senior folks who have the experience to know better. Juniors wouldn’t even be able to pick out most of even the most obvious anti-patterns AI tends to spit out such as putting configuration within code, etc.

Refactoring is just in a new world too, that us olds probably have a hard time with. It’s no longer examine the code, identify design gaps, find high leverage places to start fixing, etc. It’s now “this is broken, rewrite from scratch” when it eventually turns into too much spaghetti.

In some ways being entirely focused on the outcomes is freeing in a way. But man under the hood is crazy and a whole new world.

mlyle• 2 months ago

So I've been in a hobby project for a few weeks -- transforming an old software modem binary to c code.

I gave it the existing modem, and had it build rigging to build test vectors. I had it specify the work in the modem. And to confirm that legacy<>legacy produced the same streams as the new code. I've also recorded test vectors vs. other modems.

I've since launched it on targeted refactoring and code reduction projects.

I am mostly not looking at the code. There's a 100KSLOC lump of code that is much cleaner than a decompilation but a fair bit dirtier than what I would write myself. It is not factored terribly. I have some hope of getting it to trim this down to 70KSLOC that then I can accept in small blocks.

It outperforms the original softmodem, hitting higher RX rates for the same line quality and using less CPU. It also has additional functionality.

So, you know, I would never have written something this large for a hobby myself. And it's cost me $200 and 20-30 minutes per day for a few weeks to get a huge functional surface that I do believe I will be able to trust at the end of the process.

Brian_K_White• 2 months ago

I don't like that there are any good sounding stories, but this sounds pretty good.

bluGill• 2 months ago

That depends. When I'm working on a 1 in a million race condition in some multi-threaded code, the agent needs hours to figure out what is going on. (I would probably need weeks - I don't know as I've given up on some of these before I could point an agent at it)

siva7• 2 months ago

Yes it is too big to review for you - the human - so you simply don't review code anymore. Isn't that difficult to comprehend, is it?

dakiol• 2 months ago

No one is reviewing the code. Managers don't want us to review code either. It's a bottleneck. If something goes wrong (bugs) they are fixed as they come. It's a very sad era of software engineering. If there ever was some engineering in our trade, now it's mostly gone. We are guessing around, writing "skills" files with "please, do not introduce bugs" or "you are an owner, not a renter" or similar stuff. It's just very low effort, very undeterministic. Big apps out there are going down constantly because of AI slop (e.g., Github), and we are seeing it more often as well in non-so popular systems (e.g., in my company and other saas that we use).

Product managers never cared about the code. Engineering managers don't care about code as much as they did when they were engineers. Directors couldn't care less about code. CTOs don't know what code looks like anymore. We are at the end of the chain, and somehow we always took pride of well written and maintainble code because we knew deep inside that good systems are built based on good code. But now we are jeopardizing ourselves, it's us the engineers who don't care anymore about code and with AI that problems is amplified.

Kwpolska• 2 months ago

They don’t, they just have Claude commit and push straight to the main branch. Just like the author of this 100% slop app: https://github.com/leodavinci1/kanbots/commits/main/

SatvikBeri• 2 months ago

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.

a1o• 2 months ago

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.

BosunoB• 2 months ago

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.

hgoel2• 2 months ago

Same, on top of that multi-agent workflows just cost too much to make stopping and correcting them to feel worthwhile, compared to one or two manually managed chats

keyle• 2 months ago

Those people don't review.

suralind• 2 months ago

I agree, but for small tasks - <20 lines that I can understand in a minute or two - perfect. Thinking about it - I have hundreds, if not thousands of tasks that I would like to do, improving pipelines, migrating from one tool to another, but never have time. The only question is - if I don't have time to do it, do I have time to prompt it?

digitaltrees3• 2 months ago

You care about code quality. Many don’t. I had someone tell me this week that a 6000 line class was ok because it was easier for the model to understand and that’s more important than human comprehension. And I get his point but that seems like a big risk to take.

mpalczewski• 2 months ago

and it's wrong. a 6000 line class is not easier for a model to understand. the same things that help humans also help agents. I find myself adding linters that must pass and the agent muss fix that limit file size, function length, function complexity, how many files in a directory. a little more work for the agent, but the codebase is healthier and the agents write fewer bugs.

faangguyindia• 2 months ago

whenever i found a guy who uses parallel overnight agents, i asked them how many users they have. Crickets.

They do not have any users. Meanwhile, i've to do code reviews and all otherwise my 12,000+ users will be pissed off if anything in their workflow breaks.

This means i really cannot release more than 1 tiny feature a day. And using parallel agents, well that's good for testing but i don't think i need to add that many features to add anything.

zx8080• 2 months ago

Cost of generation is low, why review? Regenerate if not working. Rinse and repeat.

Maximize providers profits. What can go wrong.

toobulkeh• 2 months ago

Testing

nobodywillobsrv• 2 months ago

I understand and agree with the feeling but then I also feel AI is too slow and too expensive.

My most successful autonomous runs have been expanding scrapers across a number of similar but different portals. I had examples and targets and it just kept searching for new ones and adding them.

But even doing basic ML auto research k have found it to be surprisingly poor except at trivial but useful augmentation of models. Yes it can implement things but somehow I am required a lot even though I set up a lot of framework around it.

My mental model is that it's very good at complex deterministic work like reading bad API docs and getting some connectors to work.

But perhaps I care less about being stuck in a local optimum there.

JodieBenitez• 2 months ago

I never review anything writtend by codex in my pet projects. It works or it doesn't and then I prompt again. I can see how it's easy to multiply agents in this case.

Now when using it for my job... that's a totally different story: I review all the changes, so a single chat session with an agent can lead to a whole day of review. And it's great, sometimes the agent uses patterns and functions I don't know, so I learn a lot.

risyachka• 2 months ago

No one reads code that results from this. Those who say otherwise either lie or are very bad developers which is essentially the same as not reading that code.

cold_harbor• 2 months ago

the bottleneck moves from generation to review. agents parallelize, humans review sequentially — 8 parallel cards means 8x the diffs to read, none of the timelines overlap

jgalt212• 2 months ago

Without agentic coding the number go up narrative dies. There's your answer.

gopher_space• 2 months ago

Everything I can batch overnight locally is free.

jorl17• 2 months ago

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.

2001zhaozhao3• 2 months ago

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.

I am working on exactly this interface for my new tool called Kotkit. You start with kanban board management of workspaces. Each workspace (worktree on one/multiple repos) is a feature-rich IDE interface in a remote-capable in-browser desktop. You can spawn multiple agents with a good UI wrapper and full auditable logs, solve worktree rebase/merge with 1-click AI features, and there is also an embedded VSCode to solve edge cases. It also supports very deep plugin integration like IntelliJ.

Currently dogfooding it on my own projects and will be released sometime soon.

gavmor• 2 months ago

That's sorta how Agent of Empires and also Zed seem to operate—worktrees as a first class aspect of the workflow.

ptengelmann• 2 months ago

one of your pages return 404 /comparison... but cool project! I guess we're just still not there to let agents run without supervision. At least for me.

KerrickStaley• 2 months ago

This reminds me of Vibe Kanban (https://vibekanban.com/) which I use to manage coding agents on most of my projects.

The Vibe Kanban developers unfortunately decided that they didn't see a path to profitability and have stopped investing in the project. It's open source and so you can run it locally / fork it, but it has stopped improving and there are still annoying bugs that need to be fixed (and I don't have time to maintain it personally). This makes me sad because I would be willing to pay for Vibe Kanban, but I didn't need the features their paid plan offered (in retrospect maybe I should have paid anyway).

I'll give Kanbots a go :) I'd recommend liberally copying features from Vibe Kanban. In particular the remote support and "Open in VS Code" button (which in my case opens a local VSCode client pointing to a remote VSCode server) are critical for me.

2001zhaozhao3• 2 months ago

Vibe Kanban is indeed a treasure trove in terms of useful features.

I've been working for the last week or two on getting my new tool up to parity with VK with additional improvements. I've been posting some screenshots into the Vibe Kanban discord as well. Hopefully it'll be a great fit for your use case when I finally am ready to launch it.

(My tool aims for better features than VK in both the Kanban board and agent workspaces, while adding extra systems like desktop windowing, plugins, in-browser VSCode integration, and htmx-like server-rendered UI. The remote access also works differently - you host the whole thing like OpenClaw and access the remote desktop UI from the browser, rather than run a webserver on your laptop to access remote coding agents.)

yoavsha1• 2 months ago

Did you publish your tool? I searched through your GitHub but couldn't find it. Sounds amazing, I was thinking of a similar concept.

croes2• 2 months ago

Can‘t you use Vibe Kanban to vibe code fixes?

2001zhaozhao3• 2 months ago

Looks very nice!

Just a heads up, the website is extremely choppy on WebKit (Orion Browser) for me when scrolling

edit: not working with Claude Code on Amazon Bedrock, it needs a claude scription

m_m_carvalho• 2 months ago

The parallel agents concept is interesting. How does it handle state sync between agents when they're modifying the same board? Or is there built-in conflict resolution?

kraftman• 2 months ago

arent they sticking to their own cards?

timfsu• 2 months ago

This is dope! We basically built something very similar internally for our team and it's been a very natural and intuitive way to manage agents (as opposed to having a bunch of terminals to track). Not every task/conversation can be done in the background, so it's been helpful for us internally to be able to seamlessly transition between "interactive conversation" and "background job done by agents" even within a single card.

teaearlgraycold• 2 months ago

The kanban board on the landing page looks terrible on mobile (iPhone 15 Pro).

tquinn352• 2 months ago

Isn’t this just vibe kanban? https://github.com/BloopAI/vibe-kanban

darkstar999• 2 months ago

Competitors can exist.

rglover• 2 months ago

The way I've explained it: "there's 8 billion other monkeys on this rock dude, of course someone else is doing the same thing."

weitendorf• 2 months ago

Dude it's literally on bloop. It's a bloop original

tquinn352• 2 months ago

Not sure what your trying to say here

encoderer• 2 months ago

Is the website done with Claude design? It gave me a very similar theme recently.

zyngaro• 2 months ago

How does it handle dependent cards ? And the spare the they should be blah blah

jaequery• 2 months ago

i was also building something similar. https://github.com/jaequery/planbooq. i think building your own kanban is the new age vim/emacs, so you can streamline your workflows the way you want them to be.

AgentMasterRace• 2 months ago

Cline has this too

atoav• 2 months ago

The problem with this is that agents need to have good taste (code, design and UX) hammered into them with a crowbar and eben then writing manual CSS is something I find myself doing

aliasxneo• 2 months ago

“kanbots” is damaged and can’t be opened. You should move it to the Trash.

What a fitting first error to run into for vibe coded software.

recroad• 2 months ago

There's also this:

https://www.stridelikeaboss.com/

desireco423• 2 months ago

Landing page looks cool and I would love to try it out, but to make a cloud account just to work locally is not OK for me.

claudiug• 2 months ago

https://www.kanbots.dev/comparisons fantastic list!

ernsheong• 2 months ago

hmm 404 for me

rirze3• 2 months ago

I see a bunch of these orchestrators, but is anything out there jj (jujitsu) native? I would really like to avoid hacking onto an existing product.

waterproof• 2 months ago

If Jujutsu had become popular a couple of years earlier, it might have had a chance to catch on. I worry that it missed the most critical training window for AI and we may be locked in on Git forever.

rirze3• 2 months ago

This is not true at all, a year ago it was difficult to force models to use jj consistently, but nowadays, (codex+chatgpt, at the very least) models very nicely obey jj workflows when guided in AGENTS.md . They have been training models to use it.

Edit: my original comment was related to how git worktrees are by default used in the implementation of these agent orchestration tools. I would rather prefer jj workspaces.

nullbio2• 2 months ago

One thing I don't understand with all of these, is how they're handling different worktree infrastructure spin-up?

For example, if I have a webapp, I want each of the worktrees to spin up its own infrastructure, and be accessible on its own unique local url, so that I can see the changes locally for each worktree, or I can have agents automate visual checks using something like agent-browser.

Currently I use docker for my infrastructure, each service running in its own container. I have a script that has a ./app worktree create worktreename. That creates a worktree as "worktreename" and spins up all of my docker infrastructure with prefixes for things like "WORKTREENAME", and I can access all my urls at worktreename.myapp.test (or just myapp.test for the main worktree).

This is working fine for now, but it'd be cool if one of these apps was compatible with this concept so I could move over to that.

bhu8• 2 months ago

Just use direnv? You’ll probably need to adjust the port you are hosting the local page on, but that’s just N=mod(hash based on the worktree name) and then port=default_port+N.

Tell your claude to set this up. Should do it in a single prompt

chrisvenum• 2 months ago

I have this issue at work, I asked CC to create a very simple bun CLI tool that can be hard to create, destroy and list worktrees. The CLI seeds the .env file with a url, db for that worktree and I use Vercels open source package portless to spin up a dev server with unique ports so I get a url per worktree

laurels-marts• 2 months ago

i have shell scripts that create/tear down worktrees. the shell script finds unique unused ports across all existing worktrees and assigns in local .env upon worktree creation. when the worktree gets merged and is torn down the ports get released. secrets that are not worktree-specific i don't keep in local .env i inject via shell.

honestly creating these local scripts for automating the dev work was trivial and they combine well with all other cli tooling. thats why i havent tried any of the GUI apps yet. im not sure they're able to compete with my custom local setup that works exactly the way i want.

steelcm• 2 months ago

Check out emdash.sh - each task spins up its own worktree with a bunch of pre-defined environment variables that are injected. This includes `EMDASH_PORT` a uniquey port for a 10 port range. Very useful for running multiple services from a single monorepo.

nullbio2• 2 months ago

I ended up trying emdash.sh and superset.sh, both have this feature. I managed to get it to work in superset - for whatever reason the Setup script wouldn't work in emdash. So I'll stick with this for now.

kesor• 2 months ago

Originally the word "Kanban" was used by Toyota to describe their card system that helped them achieve several important things, one of them was to NOT work on too many things at once. The other one was to visualize the work. And in general Kanban was used to manage the flow of work so that defects don't get through.

This tool on the other hand is all about "jam as much work as you can come up with into being created in parallel". Obviously there is no managing of any flow of quality outputs, and no limiting of any work because you just shove everything into the agent and burn tokens like crazy.

Calling this a "Kanban" really irks me ... its like blasphemy or something.

npodbielski• 2 months ago

play nice with tools you already use: codex, Claude, cusrsor, github, sqlite, electron

I do not use any of those.

Also why all of those vibe coded websites are so slow on mobile.

Also I do not understand why Software Developer people are work so hard to make themselves obsolete. Why? You guys do not enjoy eating and having place to sleep?

okandship• 2 months ago

i like the board-as-orchestrator idea, but the hard part seems less "run more agents" and more making review/load visible enough that wip stays bounded

arikrahman• 2 months ago

How does this compare with https://github.com/BloopAI/vibe-kanban?

marat_yv• 2 months ago

UI looks like not a huge amount of taste and effort. Maybe smth nice looking could distinguish it from the competitors. Cool thing though

aqme28• 2 months ago

Ha, I built the exact same thing, except using ClickUp for all the task management.

Having agents on kanban is really a level-up in terms of what you can do and how you can organize.

alex_x• 2 months ago

seeing this slop landings is so tiring.

It makes me not caring about potentially good product in no time

ofcrpls• 2 months ago

https://github.com/AndyMik90/Aperant did this during the peak of the macmini auto claude phase but last update was 5 months ago

croes2• 2 months ago

Mac OS UI on windows

flexagoon• 2 months ago

The mobile website is completely broken

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

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