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An agent-led project board that turns project goals into continuous execution — defining tasks, clarifying requirements, setting priorities, and preserving every product decision in project memory.
Hey Product Hunt! 👋
While working with coding agents, I noticed that writing code was no longer taking most of my time. I was spending it deciding what to build next and repeating the same product context. The code showed what existed, but not why I built it or why I had ruled out other ideas. That frustration led me to build AI4Kanban.
AI4Kanban is an open-source Kanban board that lets an agent help manage the project, not just write the code.
Give it a rough idea and it will work through the missing details. Ask what to do next and it will suggest tasks based on the project goal and past decisions. It can also split up work, track dependencies, set priorities, and plan releases. When you correct it or reject an idea, it keeps that context for next time.
Everything is stored as Markdown in Git. There is no database, account, or MCP server. You can use the local UI or manage the board directly with Claude Code or Codex.
I do not want AI making the important product calls. I want it to handle the routine planning work, remember what we already discussed, and come to me when a decision actually needs human judgment.
I have been using AI4Kanban to build AI4Kanban itself. That is also how I test the broader idea behind it, which I call Kanban Engineering.
If you try it, I would love to know where you want the agent to act on its own and where you want it to stop and ask.
Thanks for checking it out! 🙏
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About AI4Kanban on Product Hunt
“AI project management that grows with you”
AI4Kanban was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #30 on the daily leaderboard. An agent-led project board that turns project goals into continuous execution — defining tasks, clarifying requirements, setting priorities, and preserving every product decision in project memory.
AI4Kanban was featured in Task Management (84.2k followers), SaaS (43.6k followers), Developer Tools (517.5k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 169.2k products, making this a competitive space to launch in.
Who hunted AI4Kanban?
AI4Kanban was hunted by Tao Wu. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how AI4Kanban stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Tao Wu