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AI · July 11, 2025

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Vibe Kanban – Kanban board to manage your AI coding agents

Hey HN! I'm Louis, one of the creators of Vibe Kanban. We started working on this a few weeks ago. Personally, I was feeling pretty useless working synchronously with coding agents. The 2-5 minutes that they take to complete their work often led me to distraction and doomscrolling. But there's plenty of productive work that we (human engineers) could be doing in that time, especially if we run coding agents in the background and parallelise them. Vibe Kanban lets you effortlessly spin up multiple coding agents. While some agents handle tasks in the background, you can focus on planning…

In plain words

Vibe Kanban is a Kanban board interface for managing multiple AI coding agents in parallel. It allows developers to spin up several agents simultaneously, letting them handle tasks in the background while users focus on planning or reviewing work. The tool addresses the downtime problem when working with coding agents that typically take 2-5 minutes per task. It is designed for software engineers who want to improve productivity by running agents asynchronously rather than waiting for each one to complete.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hey HN! I'm Louis, one of the creators of Vibe Kanban. We started working on this a few weeks ago. Personally, I was feeling pretty useless working synchronously with coding agents. The 2-5 minutes that they take to complete their work often led me to distraction and doomscrolling. But there's plenty of productive work that we (human engineers) could be doing in that time, especially if we run coding agents in the background and parallelise them. Vibe Kanban lets you effortlessly spin up multiple coding agents. While some agents handle tasks in the background, you can focus on planning future work or reviewing completed tasks. After a few weeks of internal dog fooding and sharing it with friends, we've now open-sourced Vibe Kanban, and it's stable enough for day-to-day use. I'd love to hear your feedback, feel free to open an issue on the github and we'll respond ASAP.

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